Triple
T6854332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camp Foster |
E158099
|
entity |
| Predicate | hasNearbyCity |
P350
|
FINISHED |
| Object | Okinawa City |
E205637
|
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 City | Statement: [Camp Foster, hasNearbyCity, Okinawa City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Okinawa City Context triple: [Camp Foster, hasNearbyCity, Okinawa City]
-
A.
Okinawa City
chosen
Okinawa City is a major urban center on Japan’s Okinawa Island, known for its cultural diversity, U.S. military presence, and vibrant music and entertainment scene.
-
B.
Kagoshima City
Kagoshima City is a major city in southern Japan’s Kyushu region, known for its active Sakurajima volcano, scenic bay setting, and role as a historic and industrial center.
-
C.
Miyakojima City
Miyakojima City is a Japanese municipal city in Okinawa Prefecture known for governing the Miyako Islands, a subtropical island group famous for its beaches and coral reefs.
-
D.
江田島市
江田島市 is a coastal city in Hiroshima Prefecture, Japan, encompassing several islands in the Seto Inland Sea and known for its maritime scenery and naval academy.
-
E.
Toyokawa
Toyokawa is a city in Aichi Prefecture, Japan, known for its historic Toyokawa Inari temple and manufacturing industries.
- 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_69c6882fae988190864cbba788c5ebb4 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d851321481908c49c2c949359703 |
completed | March 27, 2026, 7:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c79c77056c8190b2448453dfb97894 |
completed | March 28, 2026, 9:16 a.m. |
Created at: March 27, 2026, 2:20 p.m.