Triple
T14373576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dior Watches |
E356414
|
entity |
| Predicate | positionedInMarketSegment |
P96269
|
FINISHED |
| Object | high-end |
—
|
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: high-end | Statement: [Dior Watches, positionedInMarketSegment, high-end]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionedInMarketSegment Context triple: [Dior Watches, positionedInMarketSegment, high-end]
-
A.
hasTargetMarketPositioning
chosen
Indicates the specific market segment and competitive position that an offering is intended to occupy relative to alternatives.
-
B.
governsMarketSegment
Indicates that an entity has controlling influence or regulatory authority over a particular market segment.
-
C.
positionInIndustry
Indicates the role, rank, or standing that an entity holds within a particular industry or sector.
-
D.
positionInBrandPortfolio
Indicates the relative role or rank that a brand holds within a company’s overall brand portfolio.
-
E.
operatesInSegment
Indicates that an entity conducts its activities or provides its services within a specified market or operational segment.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de9007184c8190aebb003cb6548cc8 |
completed | April 14, 2026, 7:05 p.m. |
| PD | Predicate disambiguation | batch_69de2a9cb3e081909f6b33fdd939bb9e |
completed | April 14, 2026, 11:53 a.m. |
Created at: April 10, 2026, 1:15 a.m.