Triple
T13494427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naha urban area |
E320722
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Itoman |
E160829
|
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: Itoman | Statement: [Naha urban area, hasPart, Itoman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Itoman Context triple: [Naha urban area, hasPart, Itoman]
-
A.
Itoman
chosen
Itoman is a coastal city at the southern tip of Okinawa Island in Japan, historically known for its fishing industry and as a significant site in the Battle of Okinawa.
-
B.
Biei
Biei is a picturesque rural town in Hokkaido, Japan, famed for its rolling patchwork hills, flower fields, and scenic landscapes that attract photographers and tourists year-round.
-
C.
Ninohe
Ninohe is a small city in northeastern Japan known for its rural landscapes, traditional culture, and location within Iwate Prefecture in the Tōhoku region.
-
D.
Taketomi
Taketomi is a town in Okinawa Prefecture, Japan, encompassing several Yaeyama Islands and known for its traditional Ryukyuan village scenery and preserved cultural heritage.
-
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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf4da2c88190a867b53529d39545 |
completed | April 12, 2026, 2:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7463d3a948190aab07a25fd903d4e |
completed | May 3, 2026, 12:57 p.m. |
Created at: April 9, 2026, 9:43 p.m.