Triple
T6318008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koya town |
E141662
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object | Katsuragi, Wakayama |
E595760
|
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: Katsuragi, Wakayama | Statement: [Koya town, nearbyCity, Katsuragi, Wakayama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Katsuragi, Wakayama Context triple: [Koya town, nearbyCity, Katsuragi, Wakayama]
-
A.
Moriyama, Shiga
Moriyama, Shiga is a city in central Japan known for its location on the southeastern shore of Lake Biwa and its blend of residential, commercial, and historical areas.
-
B.
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.
-
C.
Hashimoto, Wakayama
chosen
Hashimoto is a city in Wakayama Prefecture, Japan, known as a regional hub in the northeastern part of the prefecture near Mount Koya.
-
D.
Maishima
Maishima is a man-made island in Osaka, Japan, known for its sports facilities, event venues, and waterfront recreational areas.
-
E.
Toyosato, Shiga
Toyosato, Shiga is a small Japanese town known for its historic elementary school building and rural setting within Shiga Prefecture.
- 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_69c008d13b8c8190be47d896eb735605 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c064c38fe48190a71a4e5e1af19b10 |
completed | March 22, 2026, 9:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c65fb7e7c88190bef0a15c12250b13 |
completed | March 27, 2026, 10:45 a.m. |
Created at: March 22, 2026, 4:29 p.m.