Triple
T16967875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 津山市 |
E411588
|
entity |
| Predicate | hasJapaneseName |
P9882
|
FINISHED |
| Object | 津山市 |
E411588
|
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: 津山市 | Statement: [津山市, hasJapaneseName, 津山市]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 津山市 Context triple: [津山市, hasJapaneseName, 津山市]
-
A.
津山市
chosen
津山市 is a historic castle town and regional city in Okayama Prefecture, Japan, known for Tsuyama Castle ruins and its preserved traditional streetscapes.
-
B.
木津川市
木津川市は、京都府南部に位置し、奈良県に隣接する住宅都市・歴史観光地として発展している市です。
-
C.
米原市
米原市は、滋賀県北東部に位置し、東海道新幹線や在来線が交差する交通の要衝として知られる市です。
-
D.
福知山市
福知山市 is a city in northern Kyoto Prefecture, Japan, known as a regional commercial and transportation hub with a mix of historical sites and rural landscapes.
-
E.
大津市
大津市 is the capital city of Shiga Prefecture in Japan, located on the southwestern shore of Lake Biwa and known for its historic temples and scenic waterfront.
- 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_69d886c9c9d481909afe222093641cae |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d0a6f628819080db47285954729a |
completed | April 18, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00d46f1d608190befe4dcbda086c03 |
completed | May 10, 2026, 6:54 p.m. |
Created at: April 10, 2026, 5:31 a.m.