Triple
T2415678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volnay |
E52295
|
entity |
| Predicate | notableClassification |
P4918
|
FINISHED |
| Object | many Premier Cru climats |
—
|
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: many Premier Cru climats | Statement: [Volnay, notableClassification, many Premier Cru climats]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableClassification Context triple: [Volnay, notableClassification, many Premier Cru climats]
-
A.
notableCategory
chosen
Indicates that an entity is recognized as notable or significant within a particular category or classification.
-
B.
notableFor
Indicates that an entity is especially recognized or distinguished for a particular quality, achievement, characteristic, or role.
-
C.
notableDuring
Indicates that something was especially prominent, active, or significant during a particular time period or event.
-
D.
notableCriterion
Indicates that something is distinguished or recognized based on a particular standard, measure, or qualifying condition.
-
E.
notableSingle
Indicates that the subject is particularly recognized or distinguished for one specific, individual instance (such as a single work, event, or achievement).
- 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_69ab495622948190bc6bc6e4cddaf645 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc94d048481908409d60129aef747 |
completed | March 7, 2026, 6:44 a.m. |
| PD | Predicate disambiguation | batch_69abc5a6cbd0819086c0716e266b7ebb |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 6, 2026, 9:41 p.m.