Triple
T27835616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 株式会社丸井 |
E703217
|
entity |
| Predicate | 主要店舗形態 |
P131041
|
FINISHED |
| Object | ファッションビル |
—
|
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: ファッションビル | Statement: [株式会社丸井, 主要店舗形態, ファッションビル]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 主要店舗形態 Context triple: [株式会社丸井, 主要店舗形態, ファッションビル]
-
A.
majorOutlet
Indicates that an entity functions as a primary or significant distribution or publication channel for another entity.
-
B.
majorOutletOf
Indicates that one entity serves as a primary distribution or sales channel for another entity’s products or services.
-
C.
shoppingCenterInstanceOf
Indicates that a specific shopping center is an instance of a particular type or class of shopping centers.
-
D.
merchantType
chosen
Indicates the category or classification of a merchant based on the type of goods or services they provide or the business model they operate under.
-
E.
hasShopsOn
Indicates that one entity (typically a street, area, or building) contains or is lined with shops located on or along it.
- 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_69ef840b94b08190950a4f77296938b2 |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f638d11c988190af7fd4572b08e038 |
completed | May 2, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69f6318ae6f08190b3f85f9201046a15 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 27, 2026, 5:59 p.m.