Triple
T2454872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 枚方市 |
E54395
|
entity |
| Predicate | 隣接自治体 |
P33892
|
FINISHED |
| Object | 京田辺市 |
E141768
|
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: 京田辺市 | Statement: [枚方市, 隣接自治体, 京田辺市]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 京田辺市 Context triple: [枚方市, 隣接自治体, 京田辺市]
-
A.
Maishima
Maishima is a man-made island in Osaka, Japan, known for its sports facilities, event venues, and waterfront recreational areas.
-
B.
Sakai City
Sakai City is a major urban center in Osaka Prefecture, Japan, known historically as a prosperous port and merchant city and today for its industrial base and cultural heritage.
-
C.
Omiya
Omiya is a major commercial and transportation hub in Saitama Prefecture, Japan, known for its busy railway station and urban center.
-
D.
Kyotanabe
chosen
Kyotanabe is a city in Kyoto Prefecture, Japan, known for its residential suburbs, educational institutions, and location within the Kansai region.
-
E.
Ominato District
Ominato District is a regional command of the Japan Maritime Self-Defense Force responsible for naval operations and defense in the northern waters of Japan.
- 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_69ab49dee84c819096b50a0049c347ac |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd82f2020819086bbd321a750ce43 |
completed | March 7, 2026, 7:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aef0c7c90c8190ba5ed3cece5e049f |
completed | March 9, 2026, 4:09 p.m. |
Created at: March 6, 2026, 9:44 p.m.