Triple
T7993944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barrancabermeja |
E186075
|
entity |
| Predicate | hasAirport |
P105
|
FINISHED |
| Object |
Yariguíes Airport
Yariguíes Airport is a public airport serving the city of Barrancabermeja in the Santander Department of Colombia.
|
E713248
|
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: Yariguíes Airport | Statement: [Barrancabermeja, hasAirport, Yariguíes Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yariguíes Airport Context triple: [Barrancabermeja, hasAirport, Yariguíes Airport]
-
A.
Panguilemo Airport
Panguilemo Airport is a regional public airport serving the city of Talca and the surrounding Maule Region in central Chile.
-
B.
Perales Airport
Perales Airport is a regional airport serving the city of Ibagué and the surrounding Tolima department in central Colombia.
-
C.
Evelio Javier Airport
Evelio Javier Airport is a small domestic airport in Antique province, Philippines, serving as an air gateway to Panay Island.
-
D.
Pichoy Airport
Pichoy Airport is the main commercial airport serving the city of Valdivia in southern Chile.
-
E.
Valesdir Airport
Valesdir Airport is a small regional airfield serving the area of Valesdir in Vanuatu, providing local and domestic flight connections.
- 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: Yariguíes Airport Triple: [Barrancabermeja, hasAirport, Yariguíes Airport]
Generated description
Yariguíes Airport is a public airport serving the city of Barrancabermeja in the Santander Department of Colombia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yariguíes Airport Target entity description: Yariguíes Airport is a public airport serving the city of Barrancabermeja in the Santander Department of Colombia.
-
A.
Panguilemo Airport
Panguilemo Airport is a regional public airport serving the city of Talca and the surrounding Maule Region in central Chile.
-
B.
Perales Airport
Perales Airport is a regional airport serving the city of Ibagué and the surrounding Tolima department in central Colombia.
-
C.
Evelio Javier Airport
Evelio Javier Airport is a small domestic airport in Antique province, Philippines, serving as an air gateway to Panay Island.
-
D.
Pichoy Airport
Pichoy Airport is the main commercial airport serving the city of Valdivia in southern Chile.
-
E.
Valesdir Airport
Valesdir Airport is a small regional airfield serving the area of Valesdir in Vanuatu, providing local and domestic flight connections.
- 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_69ca829c6c308190ab05b43d234c52b2 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3c73ba388190bcedc29fbdd22f3c |
completed | March 31, 2026, 3:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc93991e9c8190a6834b8d9fd82128 |
completed | April 1, 2026, 3:40 a.m. |
| NEDg | Description generation | batch_69cc9557c6148190a759021b6add0a61 |
completed | April 1, 2026, 3:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc96a8bb688190a352de1798b380f1 |
completed | April 1, 2026, 3:53 a.m. |
Created at: March 30, 2026, 5:16 p.m.