Triple
T15174345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barretos |
E362565
|
entity |
| Predicate | hasAirport |
P105
|
FINISHED |
| Object |
Chafei Amsei Airport
Chafei Amsei Airport is a regional public airport serving the city of Barretos in the state of São Paulo, Brazil.
|
E1156584
|
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: Chafei Amsei Airport | Statement: [Barretos, hasAirport, Chafei Amsei Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chafei Amsei Airport Context triple: [Barretos, hasAirport, Chafei Amsei Airport]
-
A.
Muanda Airport
Muanda Airport is a public airport serving the coastal town of Muanda in the western Democratic Republic of the Congo, providing regional air connectivity for passengers and cargo.
-
B.
Ulei Airport
Ulei Airport is a small regional airfield serving the island of Ambrym in Vanuatu, providing local and inter-island air connections.
-
C.
Sonari Airport
Sonari Airport is a domestic airport serving the industrial city of Jamshedpur in the Indian state of Jharkhand.
-
D.
Rinas Airport
Rinas Airport is the main international airport serving Tirana and the primary air gateway to Albania.
-
E.
Falalop Airport
Falalop Airport is a small airstrip serving the remote Ulithi Atoll in the Federated States of Micronesia, providing vital air access for residents and visitors.
- 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: Chafei Amsei Airport Triple: [Barretos, hasAirport, Chafei Amsei Airport]
Generated description
Chafei Amsei Airport is a regional public airport serving the city of Barretos in the state of São Paulo, Brazil.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chafei Amsei Airport Target entity description: Chafei Amsei Airport is a regional public airport serving the city of Barretos in the state of São Paulo, Brazil.
-
A.
Muanda Airport
Muanda Airport is a public airport serving the coastal town of Muanda in the western Democratic Republic of the Congo, providing regional air connectivity for passengers and cargo.
-
B.
Ulei Airport
Ulei Airport is a small regional airfield serving the island of Ambrym in Vanuatu, providing local and inter-island air connections.
-
C.
Sonari Airport
Sonari Airport is a domestic airport serving the industrial city of Jamshedpur in the Indian state of Jharkhand.
-
D.
Rinas Airport
Rinas Airport is the main international airport serving Tirana and the primary air gateway to Albania.
-
E.
Falalop Airport
Falalop Airport is a small airstrip serving the remote Ulithi Atoll in the Federated States of Micronesia, providing vital air access for residents and visitors.
- 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_69d85a087b7c81908baa94a53dac8d68 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0066236d481909e8ac47f496861ad |
completed | April 15, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1a61136081908198806944c81808 |
completed | May 9, 2026, 11:28 a.m. |
| NEDg | Description generation | batch_69ff1bc3aa2c8190b61d21fa78682ea1 |
completed | May 9, 2026, 11:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff1cbccab48190b9e19b5a09324d8c |
completed | May 9, 2026, 11:38 a.m. |
Created at: April 10, 2026, 3:09 a.m.