Triple
T28882374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 西脇市 |
E732451
|
entity |
| Predicate | 産業特徴 |
P101071
|
FINISHED |
| Object | 中小企業が多い |
—
|
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: 中小企業が多い | Statement: [西脇市, 産業特徴, 中小企業が多い]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 産業特徴 Context triple: [西脇市, 産業特徴, 中小企業が多い]
-
A.
industrialStructure
Indicates a structural or organizational relationship involving industrial facilities, systems, or frameworks.
-
B.
主な業態
Indicates the primary type or main form of business operation that characterizes an entity’s activities.
-
C.
industrialFocus
Indicates a relationship where an entity is primarily concerned with, specialized in, or directed toward a particular industrial sector or area of industrial activity.
-
D.
hasIndustrialSector
Indicates that an entity is associated with, operates in, or belongs to a particular industrial sector or branch of economic activity.
-
E.
businessTrait
chosen
Indicates that an entity possesses a particular business-related characteristic, quality, or attribute in relation to another entity or context.
- 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.