Triple
T28882389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 西脇市 |
E732451
|
entity |
| Predicate | 日本のへそと呼ばれる理由 |
P165693
|
FINISHED |
| Object | 東経135度と北緯35度付近に位置するため |
—
|
LITERAL 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: 東経135度と北緯35度付近に位置するため | Statement: [西脇市, 日本のへそと呼ばれる理由, 東経135度と北緯35度付近に位置するため]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 日本のへそと呼ばれる理由 Context triple: [西脇市, 日本のへそと呼ばれる理由, 東経135度と北緯35度付近に位置するため]
-
A.
positionOnHonshu
Indicates that one entity is geographically located on the island of Honshu in Japan.
-
B.
البطن
Indicates a relationship where something is located in, contained within, or belongs to the inner part or core (literal or figurative) of something else.
-
C.
ichinomiya
Indicates a relationship where a location or institution holds the status of "Ichinomiya," the primary or highest-ranking Shinto shrine of a historical province.
-
D.
terminusOnHonshu
Indicates that the endpoint or terminus of something (such as a route, line, or connection) is located on the island of Honshu.
-
E.
JapaneseMission
Indicates a mission, delegation, or official undertaking that is specifically associated with Japan or originates from Japanese authorities or organizations.
- F. None of above. chosen
Provenance (4 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_69f05b07bdec819080cadfe147aa1f25 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f65a6eaf04819099d26898306ffe41 |
completed | May 2, 2026, 8:11 p.m. |
| PD | Predicate disambiguation | batch_69f65762b5e481908a30ca963dcba4be |
completed | May 2, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f658ebeca4819096beb3f98f73fe31 |
completed | May 2, 2026, 8:05 p.m. |
Created at: April 28, 2026, 7:46 a.m.