Triple
T15440345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koyasan, Wakayama Prefecture |
E369882
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Koya, Wakayama Prefecture |
E369882
|
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: Koya, Wakayama Prefecture | Statement: [Koyasan, Wakayama Prefecture, locatedIn, Koya, Wakayama Prefecture]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Koya, Wakayama Prefecture Context triple: [Koyasan, Wakayama Prefecture, locatedIn, Koya, Wakayama Prefecture]
-
A.
Koyasan, Wakayama Prefecture
chosen
Koyasan in Wakayama Prefecture is a major Buddhist monastic complex and sacred mountain plateau that serves as the spiritual center of Shingon Buddhism in Japan.
-
B.
Kōka, Shiga Prefecture
Kōka, Shiga Prefecture is a rural city in Japan’s Kansai region known for its historic ninja heritage and scenic mountain landscapes.
-
C.
Kaga, Ishikawa
Kaga, Ishikawa is a city in Ishikawa Prefecture, Japan, known for its historic hot spring resorts and traditional crafts.
-
D.
Konan, Shiga
Konan, Shiga is a city in Japan known for its rural landscapes, historical temples, and location in the southern part of Shiga Prefecture.
-
E.
Koga, Fukuoka
Koga, Fukuoka is a suburban city in Fukuoka Prefecture, Japan, known as a residential and commuter area within the Fukuoka metropolitan region.
- 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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03eddf258819082679970b7d2b6af |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff21a9b9188190a3f5de3ee18c5d3e |
completed | May 9, 2026, 11:59 a.m. |
Created at: April 10, 2026, 3:21 a.m.