Triple
T30441766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | アメリカ合衆国ミシガン州リボニア市 |
E774463
|
entity |
| Predicate | 商業施設 |
P20782
|
FINISHED |
| Object | ショッピングセンターが立地している |
—
|
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: ショッピングセンターが立地している | Statement: [アメリカ合衆国ミシガン州リボニア市, 商業施設, ショッピングセンターが立地している]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 商業施設 Context triple: [アメリカ合衆国ミシガン州リボニア市, 商業施設, ショッピングセンターが立地している]
-
A.
commercialArea
chosen
Indicates that the location or region is designated primarily for commercial activities such as businesses, shops, or services.
-
B.
commercialOperation
Indicates that an entity is engaged in or associated with a profit-oriented business activity or transaction.
-
C.
businessBase
Indicates that one entity serves as the primary business foundation, core location, or main operational base for another entity.
-
D.
commercialCategory
Indicates the type of commercial classification or business category under which an entity or transaction is grouped.
-
E.
centralBusiness
Indicates that an entity functions as the primary commercial or economic hub (central business area or role) in relation to another entity.
- 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_69f22493ef9c8190ae8c2afcb7f994c8 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6869948e481908901dbda23952cc0 |
completed | May 2, 2026, 11:19 p.m. |
| PD | Predicate disambiguation | batch_69f678d2196c8190b9d0d2fcd47cc539 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 29, 2026, 8:08 p.m.