Triple
T19057704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tablas Island |
E466441
|
entity |
| Predicate | hasAirport |
P105
|
FINISHED |
| Object |
Tugdan Airport
Tugdan Airport is a domestic airport serving Tablas Island in Romblon province in the Philippines.
|
E1356254
|
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: Tugdan Airport | Statement: [Tablas Island, hasAirport, Tugdan Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tugdan Airport Context triple: [Tablas Island, hasAirport, Tugdan Airport]
-
A.
Gunbalanya Airport
Gunbalanya Airport is a small regional airfield serving the remote community of Gunbalanya (formerly Oenpelli) in the Northern Territory of Australia.
-
B.
Pangnirtung Airport
Pangnirtung Airport is a small public airport in Pangnirtung, Nunavut, Canada, providing vital air service to this remote Arctic community.
-
C.
Baljek Airport
Baljek Airport is a small regional airport serving the town of Tura and the surrounding Garo Hills region in the Indian state of Meghalaya.
-
D.
Uytash Airport
Uytash Airport is the main civil airport serving the city of Makhachkala and the Republic of Dagestan in southern Russia.
-
E.
Kadala Airport
Kadala Airport is the main commercial airport serving the city of Chita in eastern Siberia, Russia.
- 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: Tugdan Airport Triple: [Tablas Island, hasAirport, Tugdan Airport]
Generated description
Tugdan Airport is a domestic airport serving Tablas Island in Romblon province in the Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tugdan Airport Target entity description: Tugdan Airport is a domestic airport serving Tablas Island in Romblon province in the Philippines.
-
A.
Gunbalanya Airport
Gunbalanya Airport is a small regional airfield serving the remote community of Gunbalanya (formerly Oenpelli) in the Northern Territory of Australia.
-
B.
Pangnirtung Airport
Pangnirtung Airport is a small public airport in Pangnirtung, Nunavut, Canada, providing vital air service to this remote Arctic community.
-
C.
Baljek Airport
Baljek Airport is a small regional airport serving the town of Tura and the surrounding Garo Hills region in the Indian state of Meghalaya.
-
D.
Uytash Airport
Uytash Airport is the main civil airport serving the city of Makhachkala and the Republic of Dagestan in southern Russia.
-
E.
Kadala Airport
Kadala Airport is the main commercial airport serving the city of Chita in eastern Siberia, Russia.
- 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_69d8dd040fb881909af2a964f65ad208 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5dc0742288190a594be859184841a |
completed | April 20, 2026, 7:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05c55bceb081908f7d8a74dd01dc32 |
completed | May 14, 2026, 12:51 p.m. |
| NEDg | Description generation | batch_6a05c93eb7b881909bf53002224ea86e |
completed | May 14, 2026, 1:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05ca4de6448190aca4c8b4a5af9416 |
completed | May 14, 2026, 1:12 p.m. |
Created at: April 10, 2026, 12:03 p.m.