Triple
T2972576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saks Fifth Avenue |
E80313
|
entity |
| Predicate | fashionSegment |
P16877
|
FINISHED |
| Object | high-end fashion |
—
|
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 fashion | Statement: [Saks Fifth Avenue, fashionSegment, high-end fashion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fashionSegment Context triple: [Saks Fifth Avenue, fashionSegment, high-end fashion]
-
A.
fashionStyle
Indicates the characteristic way in which an entity dresses or presents themselves in terms of clothing and appearance.
-
B.
brandSegment
chosen
Indicates the specific market segment or customer group that a brand is targeted toward or associated with.
-
C.
garmentType
Indicates the specific kind or category of garment associated with an entity.
-
D.
dressFeature
Indicates that a dress possesses or is characterized by a particular feature, attribute, or design element.
-
E.
fashionReputation
Indicates the perceived status or esteem an entity holds within the context of fashion, based on how its style, taste, or influence is judged by others.
- 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_69ad8b14ffe881908ffed62f9595c867 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad998656948190ba79d7196d735f34 |
completed | March 8, 2026, 3:45 p.m. |
| PD | Predicate disambiguation | batch_69ad96105a708190a9ec4838cbcb1207 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:58 p.m.