Triple
T16794632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Region of Ghana |
E408199
|
entity |
| Predicate | hasAirport |
P105
|
FINISHED |
| Object |
Tamale Airport
Tamale Airport is a regional airport in northern Ghana that serves the city of Tamale and acts as a key air transport hub for the area.
|
E1235141
|
NE FINISHED |
How this triple was built (4 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: Tamale Airport | Statement: [Northern Region of Ghana, hasAirport, Tamale Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tamale Airport Context triple: [Northern Region of Ghana, hasAirport, Tamale Airport]
-
A.
Sauce Viejo Airport
Sauce Viejo Airport is a regional airport serving the city of Santa Fe and its surrounding area in Argentina.
-
B.
El Caraño Airport
El Caraño Airport is the main public airport serving the city of Quibdó in Colombia’s Chocó Department.
-
C.
Guerrero Negro Airport
Guerrero Negro Airport is a small regional airport in Baja California Sur, Mexico, serving the town of Guerrero Negro and its surrounding area.
-
D.
Vilo Acuña Airport
Vilo Acuña Airport is the main airport serving the resort island of Cayo Largo del Sur in Cuba, handling domestic and international tourist flights.
-
E.
Maya-Maya Airport
Maya-Maya Airport is the main international airport serving Brazzaville, the capital city of the Republic of the Congo.
- 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: Tamale Airport Triple: [Northern Region of Ghana, hasAirport, Tamale Airport]
Generated description
Tamale Airport is a regional airport in northern Ghana that serves the city of Tamale and acts as a key air transport hub for the area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tamale Airport Target entity description: Tamale Airport is a regional airport in northern Ghana that serves the city of Tamale and acts as a key air transport hub for the area.
-
A.
Sauce Viejo Airport
Sauce Viejo Airport is a regional airport serving the city of Santa Fe and its surrounding area in Argentina.
-
B.
El Caraño Airport
El Caraño Airport is the main public airport serving the city of Quibdó in Colombia’s Chocó Department.
-
C.
Guerrero Negro Airport
Guerrero Negro Airport is a small regional airport in Baja California Sur, Mexico, serving the town of Guerrero Negro and its surrounding area.
-
D.
Vilo Acuña Airport
Vilo Acuña Airport is the main airport serving the resort island of Cayo Largo del Sur in Cuba, handling domestic and international tourist flights.
-
E.
Maya-Maya Airport
Maya-Maya Airport is the main international airport serving Brazzaville, the capital city of the Republic of the Congo.
- F. None of above. chosen
Provenance (5 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_69d88393905081908d00a86b99996ac8 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b2a8b66c8190b83d8af85d2b23a8 |
completed | April 18, 2026, 4:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00b28b77188190b8d87fca1b5dde5d |
completed | May 10, 2026, 4:30 p.m. |
| NEDg | Description generation | batch_6a00b32d2a588190b59bad56f8817bce |
completed | May 10, 2026, 4:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00b3d14b3c819081f435777f47eca3 |
completed | May 10, 2026, 4:35 p.m. |
Created at: April 10, 2026, 5:22 a.m.