Triple
T12876508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puerto Leguízamo |
E307982
|
entity |
| Predicate | hasAirport |
P105
|
FINISHED |
| Object |
Caucayá Airport
Caucayá Airport is a public airport serving the town of Puerto Leguízamo in the Putumayo Department of Colombia.
|
E1010182
|
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: Caucayá Airport | Statement: [Puerto Leguízamo, hasAirport, Caucayá Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caucayá Airport Context triple: [Puerto Leguízamo, hasAirport, Caucayá Airport]
-
A.
Palonegro International Airport
Palonegro International Airport is the main commercial airport serving the city of Bucaramanga in northeastern Colombia.
-
B.
Balbuena Military Airport
Balbuena Military Airport was the earlier military airfield in Mexico City that evolved into today’s Mexico City International Airport.
-
C.
Porvenir Airport
Porvenir Airport is a small regional airport serving the town of Porvenir in the Chilean region of Tierra del Fuego.
-
D.
Evelio Javier Airport
Evelio Javier Airport is a small domestic airport in Antique province, Philippines, serving as an air gateway to Panay Island.
-
E.
Guayaramerín Airport
Guayaramerín Airport is a public airport serving the town of Guayaramerín in the Beni Department of northeastern Bolivia, near the border with Brazil.
- 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: Caucayá Airport Triple: [Puerto Leguízamo, hasAirport, Caucayá Airport]
Generated description
Caucayá Airport is a public airport serving the town of Puerto Leguízamo in the Putumayo Department of Colombia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Caucayá Airport Target entity description: Caucayá Airport is a public airport serving the town of Puerto Leguízamo in the Putumayo Department of Colombia.
-
A.
Palonegro International Airport
Palonegro International Airport is the main commercial airport serving the city of Bucaramanga in northeastern Colombia.
-
B.
Balbuena Military Airport
Balbuena Military Airport was the earlier military airfield in Mexico City that evolved into today’s Mexico City International Airport.
-
C.
Porvenir Airport
Porvenir Airport is a small regional airport serving the town of Porvenir in the Chilean region of Tierra del Fuego.
-
D.
Evelio Javier Airport
Evelio Javier Airport is a small domestic airport in Antique province, Philippines, serving as an air gateway to Panay Island.
-
E.
Guayaramerín Airport
Guayaramerín Airport is a public airport serving the town of Guayaramerín in the Beni Department of northeastern Bolivia, near the border with Brazil.
- 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d970f97f9c81908c75259a4cab1d3c |
completed | April 10, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a55161a881908d767653c17d3acc |
completed | May 3, 2026, 1:30 a.m. |
| NEDg | Description generation | batch_69f6a772f3248190b18a2bda51ef4b65 |
completed | May 3, 2026, 1:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6a869e1908190bdc34fbadd226282 |
completed | May 3, 2026, 1:44 a.m. |
Created at: April 9, 2026, 5:38 p.m.