Triple
T30197445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pacherenc-du-Vic-Bilh |
E767672
|
entity |
| Predicate | dryStyleLabel |
P160399
|
FINISHED |
| Object | Pacherenc-du-Vic-Bilh sec |
—
|
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: Pacherenc-du-Vic-Bilh sec | Statement: [Pacherenc-du-Vic-Bilh, dryStyleLabel, Pacherenc-du-Vic-Bilh sec]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dryStyleLabel Context triple: [Pacherenc-du-Vic-Bilh, dryStyleLabel, Pacherenc-du-Vic-Bilh sec]
-
A.
styleFor
Indicates a relationship where one entity defines, specifies, or is used as the style or styling configuration applied to another entity.
-
B.
styledAs
Indicates that one entity is presented, formatted, or designed in the manner, appearance, or aesthetic of another entity.
-
C.
nativeLabel
Indicates the label or name of an entity expressed in its own native or original language.
-
D.
styleWithName
chosen
Indicates that an entity has or is associated with a particular style identified by a given name.
-
E.
fashionLabel
Indicates that an entity is a fashion brand or label associated with the design, production, or marketing of clothing or accessories.
- 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_69f2247db1108190835c0727c97637c3 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67fc237608190b6542b56038a7fe4 |
completed | May 2, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69f675ff62c48190a634bbb8896973b9 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 29, 2026, 7:30 p.m.