Triple
T27835620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 株式会社丸井 |
E703217
|
entity |
| Predicate | 市場セグメント |
P481
|
FINISHED |
| Object | 若年層向けファッション |
—
|
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: 若年層向けファッション | Statement: [株式会社丸井, 市場セグメント, 若年層向けファッション]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 市場セグメント Context triple: [株式会社丸井, 市場セグメント, 若年層向けファッション]
-
A.
marketSegmentType
Indicates the specific category or segment of the market that an entity, product, or service is targeted toward or associated with.
-
B.
targetMarket
chosen
Indicates the group of consumers or organizations that a product, service, or campaign is specifically intended and designed to reach.
-
C.
marketSegmentPreviewed
Indicates that a specific market segment has been reviewed or examined in advance, typically as part of planning, analysis, or evaluation activities.
-
D.
marketSegmentCoverage
Indicates the extent to which a product, service, or campaign reaches or serves the intended market segment(s).
-
E.
brandSegment
Indicates the specific market segment or customer group that a brand is targeted toward or associated with.
- 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.