Triple
T7219605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Epi |
E150221
|
entity |
| Predicate | hasAirport |
P105
|
FINISHED |
| Object |
Valesdir Airport
Valesdir Airport is a small regional airfield serving the area of Valesdir in Vanuatu, providing local and domestic flight connections.
|
E657384
|
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: Valesdir Airport | Statement: [Epi, hasAirport, Valesdir Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valesdir Airport Context triple: [Epi, hasAirport, Valesdir Airport]
-
A.
Amausi Airport
Amausi Airport is the former name of Chaudhary Charan Singh International Airport, the main airport serving Lucknow in the Indian state of Uttar Pradesh.
-
B.
Panguilemo Airport
Panguilemo Airport is a regional public airport serving the city of Talca and the surrounding Maule Region in central Chile.
-
C.
Pichoy Airport
Pichoy Airport is the main commercial airport serving the city of Valdivia in southern Chile.
-
D.
Puyo Airport
Puyo Airport is a regional public airport serving the city of Puyo and the surrounding area in Ecuador’s Amazonian Pastaza Province.
-
E.
Yola Airport
Yola Airport is a regional airport serving the city of Yola in northeastern Nigeria, handling domestic flights and limited international traffic.
- 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: Valesdir Airport Triple: [Epi, hasAirport, Valesdir Airport]
Generated description
Valesdir Airport is a small regional airfield serving the area of Valesdir in Vanuatu, providing local and domestic flight connections.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Valesdir Airport Target entity description: Valesdir Airport is a small regional airfield serving the area of Valesdir in Vanuatu, providing local and domestic flight connections.
-
A.
Amausi Airport
Amausi Airport is the former name of Chaudhary Charan Singh International Airport, the main airport serving Lucknow in the Indian state of Uttar Pradesh.
-
B.
Panguilemo Airport
Panguilemo Airport is a regional public airport serving the city of Talca and the surrounding Maule Region in central Chile.
-
C.
Pichoy Airport
Pichoy Airport is the main commercial airport serving the city of Valdivia in southern Chile.
-
D.
Puyo Airport
Puyo Airport is a regional public airport serving the city of Puyo and the surrounding area in Ecuador’s Amazonian Pastaza Province.
-
E.
Yola Airport
Yola Airport is a regional airport serving the city of Yola in northeastern Nigeria, handling domestic flights and limited international traffic.
- 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_69c687effb44819092b95d07d0368c9f |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e9b1a7908190bd215ffb84592e32 |
completed | March 27, 2026, 8:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7eec9fcd88190905139f6e4eb7684 |
completed | March 28, 2026, 3:07 p.m. |
| NEDg | Description generation | batch_69c7f04757488190913fc9bdfdfb22fe |
completed | March 28, 2026, 3:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7f09fd1088190b224b315e076b19a |
completed | March 28, 2026, 3:15 p.m. |
Created at: March 27, 2026, 2:53 p.m.