Triple
T1373008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Okinawa Prefecture |
E30155
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Ginowan |
E220977
|
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: Ginowan | Statement: [Okinawa Prefecture, hasCity, Ginowan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ginowan Context triple: [Okinawa Prefecture, hasCity, Ginowan]
-
A.
Simushir
Simushir is an uninhabited volcanic island in the central Kuril Islands chain of Russia, known for its rugged terrain and former Soviet military installations.
-
B.
Iōjima
Iōjima, more widely known as Iwo Jima, is a small volcanic island in the Pacific Ocean famous as the site of a major World War II battle between Japan and the United States.
-
C.
Urasoe
chosen
Urasoe is a coastal city on the island of Okinawa in Japan, known for its historical sites, residential areas, and proximity to the prefectural capital Naha.
-
D.
Etajima
Etajima is a city in Hiroshima Prefecture, Japan, historically known as the site of the Imperial Japanese Naval Academy.
-
E.
Yufuin
Yufuin is a scenic hot spring resort town in Ōita Prefecture, Japan, known for its tranquil rural atmosphere, boutique inns, and views of Mount Yufu.
- 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_69a498f912008190a376a98b207b2071 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c2f4889881908103473a0173e23f |
completed | March 1, 2026, 10:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae1fae5aa08190b6aa50b543a175b8 |
completed | March 9, 2026, 1:17 a.m. |
Created at: March 1, 2026, 7:57 p.m.