Triple
T18580274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vin de Pays d’Oc |
E454092
|
entity |
| Predicate | regulationLevel |
P87434
|
FINISHED |
| Object | less strict than AOC |
—
|
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: less strict than AOC | Statement: [Vin de Pays d’Oc, regulationLevel, less strict than AOC]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regulationLevel Context triple: [Vin de Pays d’Oc, regulationLevel, less strict than AOC]
-
A.
regulationScore
Indicates the degree or quality of how well something is controlled, managed, or kept within desired limits.
-
B.
regulatoryType
Indicates the specific kind or category of regulatory control, rule, or oversight that applies in the given relationship.
-
C.
regulationComparedTo
chosen
Indicates a relationship where one regulation is evaluated, contrasted, or measured in reference to another regulation.
-
D.
regulationAtIssue
Indicates that a specific regulation is the subject of concern, dispute, or analysis in the given context.
-
E.
regulatesOrIsRegulatedBy
Indicates a bidirectional regulatory relationship in which one entity controls, influences, or modulates another, or is itself controlled, influenced, or modulated by that other entity.
- 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_69d8d38974308190a9174430ef256b73 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e543cf33288190bc2cd6b7befde944 |
completed | April 19, 2026, 9:06 p.m. |
| PD | Predicate disambiguation | batch_69e478c98d4c81909d37a0e72c6e7bd0 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:43 a.m.