Triple
T35656386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nizza DOCG |
E1030297
|
entity |
| Predicate | legalRecognitionAsSeparateDOCG |
P200708
|
FINISHED |
| Object | 2014 |
—
|
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: 2014 | Statement: [Nizza DOCG, legalRecognitionAsSeparateDOCG, 2014]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalRecognitionAsSeparateDOCG Context triple: [Nizza DOCG, legalRecognitionAsSeparateDOCG, 2014]
-
A.
legalRecognition
Indicates that an authority formally acknowledges the validity, status, or rights associated with an entity, relationship, or action under the law.
-
B.
legalStatusRecognizedIn
Indicates that an entity’s legal status is officially acknowledged or valid within a specified jurisdiction or legal system.
-
C.
legalEmbodimentOf
Indicates that one entity serves as the legally recognized form, vehicle, or representation through which another entity exists, acts, or holds rights and obligations in law.
-
D.
legalDocumentRatified
Indicates that a legal document has been formally approved and made officially valid by the appropriate authority or process.
-
E.
recognizesDocument
Indicates that one entity acknowledges the validity or authenticity of a document associated with another entity.
- F. None of above. chosen
Provenance (4 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_69f76e0938088190a8f199631e97dec3 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ffa5f31c8881908c26e2aa52df6ece |
completed | May 9, 2026, 9:24 p.m. |
| PD | Predicate disambiguation | batch_69ffa42aee408190ad1a5f285688b338 |
completed | May 9, 2026, 9:16 p.m. |
| PDg | Predicate description generation | batch_69ffa5f236288190bdad97a41aca3cd8 |
completed | May 9, 2026, 9:24 p.m. |
Created at: May 3, 2026, 4:05 p.m.