Triple
T6631237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kumano Nachi Taisha |
E149929
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Nachi-Katsuura |
E636142
|
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: Nachi-Katsuura | Statement: [Kumano Nachi Taisha, locatedIn, Nachi-Katsuura]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nachi-Katsuura Context triple: [Kumano Nachi Taisha, locatedIn, Nachi-Katsuura]
-
A.
Nachi-Katsuura
chosen
Nachi-Katsuura is a coastal town in Wakayama Prefecture, Japan, renowned for its hot springs, tuna fishing port, and proximity to sacred Kumano Kodo pilgrimage sites.
-
B.
Ikawai
Ikawai is a small rural settlement in the Waimate District of the Canterbury region on New Zealand’s South Island.
-
C.
Fujinomiya
Fujinomiya is a city in Shizuoka Prefecture, Japan, known as a major gateway to Mount Fuji and for its scenic views of the iconic volcano.
-
D.
Osakasayama
Osakasayama is a suburban city in Osaka Prefecture, Japan, known for its residential character and proximity to the Osaka metropolitan area.
-
E.
Izumisano
Izumisano is a coastal city in Osaka Prefecture, Japan, known as the mainland gateway to Kansai International Airport and a hub for regional commerce and travel.
- 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_69c687ee50048190aa151765bef16193 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6afa6e52c8190943c86660da23c75 |
completed | March 27, 2026, 4:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0f32101e08190888a1f44c2224e1e |
completed | April 4, 2026, 11:16 a.m. |
Created at: March 27, 2026, 1:59 p.m.