Triple
T13037582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 京阪交野線 |
E326602
|
entity |
| Predicate | 営業形態 |
P108396
|
FINISHED |
| Object | 直営 |
—
|
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: 直営 | Statement: [京阪交野線, 営業形態, 直営]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 営業形態 Context triple: [京阪交野線, 営業形態, 直営]
-
A.
businessModelType
Indicates the type or category of business model that characterizes how an entity creates, delivers, and captures value.
-
B.
businessForm
Indicates the legal or organizational structure under which a business operates (e.g., sole proprietorship, partnership, corporation).
-
C.
commercialForm
Indicates the commercial or marketed form in which something (such as a product, substance, or medicine) is offered or sold.
-
D.
operatingModel
Indicates how an organization structures and manages its processes, resources, and governance to deliver its products or services.
-
E.
modeOfOrganization
Indicates the way in which an entity, group, or activity is structured, arranged, or organized.
- 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d98a9829b48190b23624b6b3df4600 |
completed | April 10, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69d9803aca4c8190b1015cd159cc47a9 |
completed | April 10, 2026, 10:56 p.m. |
| PDg | Predicate description generation | batch_69d98a9577d081908ddef9ea77e408e2 |
completed | April 10, 2026, 11:41 p.m. |
Created at: April 9, 2026, 8:55 p.m.