Triple
T35656416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nizza DOCG |
E1030297
|
entity |
| Predicate | legalQualityLevel |
P200727
|
FINISHED |
| Object | DOCG |
—
|
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: DOCG | Statement: [Nizza DOCG, legalQualityLevel, DOCG]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalQualityLevel Context triple: [Nizza DOCG, legalQualityLevel, DOCG]
-
A.
legalAuthorityLevel
Indicates the degree or rank of formal legal power or jurisdiction an entity holds in relation to another or within a given context.
-
B.
legalAuthorityIn
Indicates that an entity holds official legal power, jurisdiction, or governing authority within a specified area or domain.
-
C.
legalMatters
Indicates that one entity is involved with, concerned about, or responsible for legal issues, processes, or obligations related to another entity or context.
-
D.
legalIn
Indicates that an action, status, or entity is permitted or valid under the laws or regulations of a specified jurisdiction.
-
E.
legalBackground
Indicates that an entity has education, training, or experience related to law or the legal profession.
- 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_69ffa9677be08190852c8ef6c2545fed |
completed | May 9, 2026, 9:38 p.m. |
| PD | Predicate disambiguation | batch_69ffa6570e2c8190a9d7b37f12b91d9a |
completed | May 9, 2026, 9:25 p.m. |
| PDg | Predicate description generation | batch_69ffa96638108190942dcfbe0516c37a |
completed | May 9, 2026, 9:38 p.m. |
Created at: May 3, 2026, 4:05 p.m.