Triple
T16059566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naminoue Beach |
E389569
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | 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: Naha Airport | Statement: [Naminoue Beach, near, Naha Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naha Airport Context triple: [Naminoue Beach, near, Naha Airport]
-
A.
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.
-
B.
Hana Airport
Hana Airport is a small regional airport serving the remote town of Hāna on the eastern coast of Maui, Hawaii.
-
C.
Momote Airport
Momote Airport is a regional airport serving Manus Province in Papua New Guinea, providing vital air connectivity for passengers and cargo to this remote island area.
-
D.
Kirakira Airport
Kirakira Airport is a small regional airfield serving the town of Kirakira and surrounding communities in Makira-Ulawa Province of the Solomon Islands.
-
E.
Yoron Airport
Yoron Airport is a small regional airport on Yoron Island in Kagoshima Prefecture, Japan, providing domestic air links to the mainland and nearby islands.
- 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1837729e4819086e7429e0a76b0d7 |
completed | April 17, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000ec329488190ab4269b6d94a983d |
completed | May 10, 2026, 4:51 a.m. |
Created at: April 10, 2026, 4:57 a.m.