Triple
T12209941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bâtard-Montrachet |
E290929
|
entity |
| Predicate | notableCountryStyle |
P59353
|
FINISHED |
| Object | French white Burgundy |
—
|
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: French white Burgundy | Statement: [Bâtard-Montrachet, notableCountryStyle, French white Burgundy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableCountryStyle Context triple: [Bâtard-Montrachet, notableCountryStyle, French white Burgundy]
-
A.
notableCountry
Indicates that a country holds particular significance or prominence in relation to the subject entity.
-
B.
originCountryStyle
chosen
Indicates that something is characterized by or created in the style or manner typical of a particular country of origin.
-
C.
notableRecordingTradition
Indicates that there exists a significant or historically important tradition of recording or documenting something associated with the subject.
-
D.
bandNotableFor
Indicates that a musical band is especially known or recognized for a particular work, achievement, characteristic, or contribution.
-
E.
notableNationality
Indicates that an entity is notably associated with a particular nationality, often by origin, citizenship, or cultural identity.
- 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_69d6ab65923081909acfc61b7a612233 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d920e312708190b4aede2e21f5f697 |
completed | April 10, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69d91c3d669c81908eea7ad61122d275 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:51 p.m.