Triple
T14979448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biei |
E373536
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Sorachi District |
E1042361
|
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: Sorachi District | Statement: [Biei, locatedIn, Sorachi District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sorachi District Context triple: [Biei, locatedIn, Sorachi District]
-
A.
Miura District
Miura District is a rural administrative district in Kanagawa Prefecture, Japan, known for its coastal towns and scenic Miura Peninsula landscapes.
-
B.
Ōshima District
Ōshima District is an administrative district in Kagoshima Prefecture, Japan, encompassing several islands in the Amami archipelago, including Yoronjima.
-
C.
Minamikawachi District
Minamikawachi District is a rural administrative district in Osaka Prefecture, Japan, known for its small towns and historical sites.
-
D.
Sorachi Subprefecture
chosen
Sorachi Subprefecture is an administrative region in central Hokkaido, Japan, known for its agricultural production, coal-mining history, and location along major transportation routes.
-
E.
Miyanosawa district
Miyanosawa district is a residential and commercial neighborhood located in Nishi-ku, Sapporo, 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_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6fcebf481909f72cab577560d82 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69febfd6a6e081909be6d0f669687395 |
completed | May 9, 2026, 5:02 a.m. |
Created at: April 10, 2026, 2:51 a.m.