Triple
T12222943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bata Airport |
E291265
|
entity |
| Predicate | servesAsTransportHubFor |
P81087
|
FINISHED |
| Object |
Bata metropolitan area
The Bata metropolitan area is the urban region centered on the city of Bata in Equatorial Guinea, encompassing its surrounding communities and functioning as a major economic and population hub on the country’s mainland coast.
|
E968800
|
NE FINISHED |
How this triple was built (5 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Bata metropolitan area | Statement: [Bata Airport, servesAsTransportHubFor, Bata metropolitan area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bata metropolitan area Context triple: [Bata Airport, servesAsTransportHubFor, Bata metropolitan area]
-
A.
Bern metropolitan area
The Bern metropolitan area is the urban region centered around Switzerland’s federal city of Bern, encompassing its surrounding suburbs and commuter towns as a key political and economic hub.
-
B.
Natal metropolitan region
The Natal metropolitan region is a major urban agglomeration in the state of Rio Grande do Norte, Brazil, centered on the city of Natal and encompassing several surrounding municipalities.
-
C.
Sabha metropolitan area
Sabha metropolitan area is the urban agglomeration centered on the city of Sabha in southwestern Libya, serving as a key regional hub for administration, trade, and transport in the Fezzan region.
-
D.
Samborondón metropolitan area
The Samborondón metropolitan area is a rapidly growing, affluent suburban and commercial zone adjacent to Guayaquil in Ecuador, known for its gated communities, shopping centers, and business developments.
-
E.
Resistencia metropolitan area
The Resistencia metropolitan area is the principal urban agglomeration and economic hub surrounding the city of Resistencia in northeastern Argentina.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bata metropolitan area Triple: [Bata Airport, servesAsTransportHubFor, Bata metropolitan area]
Generated description
The Bata metropolitan area is the urban region centered on the city of Bata in Equatorial Guinea, encompassing its surrounding communities and functioning as a major economic and population hub on the country’s mainland coast.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bata metropolitan area Target entity description: The Bata metropolitan area is the urban region centered on the city of Bata in Equatorial Guinea, encompassing its surrounding communities and functioning as a major economic and population hub on the country’s mainland coast.
-
A.
Bern metropolitan area
The Bern metropolitan area is the urban region centered around Switzerland’s federal city of Bern, encompassing its surrounding suburbs and commuter towns as a key political and economic hub.
-
B.
Natal metropolitan region
The Natal metropolitan region is a major urban agglomeration in the state of Rio Grande do Norte, Brazil, centered on the city of Natal and encompassing several surrounding municipalities.
-
C.
Sabha metropolitan area
Sabha metropolitan area is the urban agglomeration centered on the city of Sabha in southwestern Libya, serving as a key regional hub for administration, trade, and transport in the Fezzan region.
-
D.
Samborondón metropolitan area
The Samborondón metropolitan area is a rapidly growing, affluent suburban and commercial zone adjacent to Guayaquil in Ecuador, known for its gated communities, shopping centers, and business developments.
-
E.
Resistencia metropolitan area
The Resistencia metropolitan area is the principal urban agglomeration and economic hub surrounding the city of Resistencia in northeastern Argentina.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesAsTransportHubFor Context triple: [Bata Airport, servesAsTransportHubFor, Bata metropolitan area]
-
A.
isTransportCenterOf
chosen
Indicates that a location functions as a primary hub or central node for transportation activities serving another area or network.
-
B.
situatedOnTransportRoute
Indicates that one entity is located along, on, or directly adjacent to a specified transport route (such as a road, railway, or shipping lane).
-
C.
isPublicTransportBackboneOf
Indicates that one transport system serves as the primary structural and functional core of a region’s overall public transportation network.
-
D.
isTransportHubBetween
Indicates that a location functions as a central node facilitating transportation connections between two or more other places.
-
E.
transportationJunctionFor
Indicates a location that serves as a connecting point where multiple transportation routes or modes meet, intersect, or transfer.
- F. None of above.
Provenance (6 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6ab668acc8190963ba424049d6aee |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d920e312708190b4aede2e21f5f697 |
completed | April 10, 2026, 4:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60aa6d3d481909852a6f2f90d7a41 |
completed | May 2, 2026, 2:31 p.m. |
| NEDg | Description generation | batch_69f60c06e4c08190985114da9317e8fd |
completed | May 2, 2026, 2:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f60c99de9881909ef87b878ac346fc |
completed | May 2, 2026, 2:39 p.m. |
| PD | Predicate disambiguation | batch_69d91c3d669c81908eea7ad61122d275 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:51 p.m.