Triple
T11024562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wallis (ʻUvea) |
E260581
|
entity |
| Predicate | hasAirport |
P105
|
FINISHED |
| Object | Hihifo Airport |
E888567
|
NE FINISHED |
How this triple was built (2 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: Hihifo Airport | Statement: [Wallis (ʻUvea), hasAirport, Hihifo Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hihifo Airport Context triple: [Wallis (ʻUvea), hasAirport, Hihifo Airport]
-
A.
Hihifo Airport
chosen
Hihifo Airport is the main airfield serving the French overseas collectivity of Wallis and Futuna in the South Pacific, providing regional connections to Mata-Utu and surrounding islands.
-
B.
Savusavu Airport
Savusavu Airport is a small domestic airport serving the town of Savusavu on the Fijian island of Vanua Levu.
-
C.
Vunisea Airport
Vunisea Airport is a small public airport serving the island of Kadavu in Fiji, providing domestic connections primarily to and from the capital, Suva.
-
D.
Tambolaka Airport
Tambolaka Airport is a regional airport serving the western part of Sumba Island in East Nusa Tenggara, Indonesia, providing domestic connections to major Indonesian cities.
-
E.
Talagi Airport
Talagi Airport is the main commercial airport serving the city of Arkhangelsk in northwestern Russia.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797bf78a48190a37b423812827d4e |
completed | April 9, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e42d587dd08190ba466a4ffedde1e0 |
completed | April 19, 2026, 1:18 a.m. |
Created at: April 8, 2026, 9:25 p.m.