Triple
T37061076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 京都府長岡京市 |
E917324
|
entity |
| Predicate | 主な企業 |
P187298
|
FINISHED |
| Object | 村田製作所本社所在地 |
—
|
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: 村田製作所本社所在地 | Statement: [京都府長岡京市, 主な企業, 村田製作所本社所在地]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 主な企業 Context triple: [京都府長岡京市, 主な企業, 村田製作所本社所在地]
-
A.
company
Indicates that an entity is a business organization engaged in commercial, industrial, or professional activities.
-
B.
nationalCompanyOf
Indicates that a company operates as the primary or officially recognized national company of a specified country or nation.
-
C.
isMajorCompanyIn
Indicates that a company is a leading or dominant business entity within a specified country, region, or market.
-
D.
主な業態
Indicates the primary type or main form of business operation that characterizes an entity’s activities.
-
E.
typicalEnterprises
Indicates that an entity is a standard or representative example of enterprises within a given context or category.
- 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_69f76e95fa40819091e14681087ae5e4 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb34e5576881909394355c8ec6ddd2 |
completed | May 6, 2026, 12:32 p.m. |
| PD | Predicate disambiguation | batch_69fb2f6171e88190bf1e0ee6a644b6a9 |
completed | May 6, 2026, 12:09 p.m. |
| PDg | Predicate description generation | batch_69fb34e4906c8190abb1c293fb84329a |
completed | May 6, 2026, 12:32 p.m. |
Created at: May 3, 2026, 4:14 p.m.