Triple
T14170334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nishihara, Okinawa |
E351188
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Yonabaru |
E1060909
|
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: Yonabaru | Statement: [Nishihara, Okinawa, borders, Yonabaru]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yonabaru Context triple: [Nishihara, Okinawa, borders, Yonabaru]
-
A.
Yonabaru
chosen
Yonabaru is a coastal town in Okinawa Prefecture, Japan, known as part of the greater Naha metropolitan area.
-
B.
Inamori
Inamori is a Japanese surname most prominently associated with Kazuo Inamori, the influential entrepreneur, philanthropist, and founder of Kyocera and KDDI.
-
C.
Nakanoshima
Nakanoshima is a small Japanese island associated with Etajima in Hiroshima Prefecture, known for its coastal scenery and role within the local island group.
-
D.
Itoshima
Itoshima is a coastal city in western Japan known for its scenic beaches, surf spots, and relaxed, nature-oriented lifestyle.
-
E.
Yagiyama
Yagiyama is a hilly district in Sendai, Japan, known for its zoo, amusement park, and scenic views over the city.
- 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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61b472288190b4a271daa54aa6cd |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd193dbbcc819082043d92c174164c |
completed | May 7, 2026, 10:59 p.m. |
Created at: April 10, 2026, 1:01 a.m.