Triple
T29213540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Comissão de Viticultura da Região dos Vinhos Verdes |
E740603
|
entity |
| Predicate | mainProductSupervised |
P174286
|
FINISHED |
| Object | Vinho Verde |
—
|
NE NERFINISHED |
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: Vinho Verde | Statement: [Comissão de Viticultura da Região dos Vinhos Verdes, mainProductSupervised, Vinho Verde]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainProductSupervised Context triple: [Comissão de Viticultura da Região dos Vinhos Verdes, mainProductSupervised, Vinho Verde]
-
A.
supervisedAspect
Indicates that one entity oversees, directs, or manages a particular aspect, component, or part of another entity or process.
-
B.
learningModel
Indicates that one entity functions as a learning model used to learn from data or examples in relation to another entity.
-
C.
learningRole
Indicates that one entity has a specific role or function within a learning or educational context in relation to another entity.
-
D.
supervisedEntityType
Indicates that one entity has the role of supervising, overseeing, or managing another entity of a specified type.
-
E.
supervisedPublication
Indicates that one entity oversaw, guided, or managed the creation or dissemination of a publication 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_69f07cba2f808190a2746477d4e8345b |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f6bcc425588190afd0dceba43ed79f |
completed | May 3, 2026, 3:11 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6b1e6c8190adf9d6a257e0b744 |
completed | May 3, 2026, 3 a.m. |
| PDg | Predicate description generation | batch_69f6bbf5a8288190ae170bcbe8ab65cf |
completed | May 3, 2026, 3:07 a.m. |
Created at: April 28, 2026, 12:12 p.m.