Triple
T1928079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All Nippon Airways |
E40877
|
entity |
| Predicate | focusCity |
P164
|
FINISHED |
| Object | Okinawa Naha Airport |
E90732
|
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: Okinawa Naha Airport | Statement: [All Nippon Airways, focusCity, Okinawa Naha Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Okinawa Naha Airport Context triple: [All Nippon Airways, focusCity, Okinawa Naha Airport]
-
A.
Kagoshima Airport
Kagoshima Airport is a regional and domestic hub in southern Japan that serves Kagoshima Prefecture and provides access to the island of Kyushu and nearby remote islands.
-
B.
Hiroshima Airport
Hiroshima Airport is the main regional airport serving Hiroshima Prefecture in Japan, handling domestic and limited international flights.
-
C.
Naha Airport
chosen
Naha Airport is the main commercial airport serving Okinawa Prefecture in Japan, acting as a key domestic and regional hub in the Ryukyu Islands.
-
D.
Hana Airport
Hana Airport is a small regional airport serving the remote town of Hāna on the eastern coast of Maui, Hawaii.
-
E.
Okadama Airport
Okadama Airport is a regional airport in Sapporo, Japan, primarily serving domestic and general aviation flights.
- 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_69a8864711648190b07bed24ed76258e |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb263cdb8819084d0bda98a2a71e0 |
completed | March 7, 2026, 5:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc6200bd08190bd1d9fd3046fca00 |
completed | March 10, 2026, 7:20 a.m. |
Created at: March 4, 2026, 7:35 p.m.