Triple
T37061654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 守口市 |
E917337
|
entity |
| Predicate | 有名企業拠点 |
P187304
|
FINISHED |
| Object | パナソニック関連事業所が立地する市として知られる |
—
|
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: パナソニック関連事業所が立地する市として知られる | Statement: [守口市, 有名企業拠点, パナソニック関連事業所が立地する市として知られる]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 有名企業拠点 Context triple: [守口市, 有名企業拠点, パナソニック関連事業所が立地する市として知られる]
-
A.
usedByCompanyHeadquarteredIn
Indicates that something (such as a product, service, or technology) is utilized by a company whose main headquarters is located in a specified place.
-
B.
notableEnterprise
Indicates that an entity is a business or commercial organization recognized for its significance, prominence, or impact.
-
C.
majorCompanyLocatedIn
Indicates that a major company has its primary presence or headquarters in a specified location.
-
D.
majorCompanyHeadquartered
Indicates that a company is a primary or significant corporate entity whose main headquarters is located in a specified place.
-
E.
notableCompanyHeadquarters
Indicates that a company’s primary or especially significant headquarters is located at a particular place.
- 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.