Triple
T12714690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chinon AOC |
E303805
|
entity |
| Predicate | whiteShare |
P106313
|
FINISHED |
| Object | very small proportion of production |
—
|
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: very small proportion of production | Statement: [Chinon AOC, whiteShare, very small proportion of production]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: whiteShare Context triple: [Chinon AOC, whiteShare, very small proportion of production]
-
A.
share
Indicates that one entity gives, divides, or jointly uses a resource, item, or information with another entity.
-
B.
sharesIn
Indicates that one entity holds or possesses shares or ownership stakes in another entity.
-
C.
styleWhite
Indicates that one entity has a white style, appearance, or coloration in relation to another or within a given context.
-
D.
sharesUniverseWith
Indicates that two entities exist within the same fictional or narrative universe, implying shared continuity, setting, or canon.
-
E.
sharesFeatureWith
Indicates that two entities have at least one common attribute, property, or characteristic in common.
- 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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9620a7554819083784897ff690652 |
completed | April 10, 2026, 8:48 p.m. |
| PD | Predicate disambiguation | batch_69d960c088dc8190b0e63312c54e4c6c |
completed | April 10, 2026, 8:42 p.m. |
| PDg | Predicate description generation | batch_69d961acadb8819098de743bc951fedb |
completed | April 10, 2026, 8:46 p.m. |
Created at: April 9, 2026, 5:23 p.m.