Triple
T28882375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 西脇市 |
E732451
|
entity |
| Predicate | 地域ブランド |
P80120
|
FINISHED |
| Object | 播州織の産地として知られる |
—
|
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: 播州織の産地として知られる | Statement: [西脇市, 地域ブランド, 播州織の産地として知られる]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 地域ブランド Context triple: [西脇市, 地域ブランド, 播州織の産地として知られる]
-
A.
都道府県
Indicates a relationship where an entity is a Japanese prefecture or belongs to/pertains to a specific Japanese prefecture.
-
B.
regionOfJapan
Indicates that one entity is a geographic region that is part of, or located within, Japan.
-
C.
brandingRegion
chosen
Indicates the geographic or market area in which a particular brand identity, presentation, or strategy is applied or recognized.
-
D.
hasTourismRegionBrand
Indicates that an entity is associated with or belongs to a specific tourism region brand used for destination marketing or regional tourism identity.
-
E.
geographicIndication
Indicates that a product’s qualities, reputation, or characteristics are essentially linked to its specific geographic origin or region.
- F. None of above.
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_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. |
Created at: April 28, 2026, 7:46 a.m.