Triple
T10896960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gouet |
E257333
|
entity |
| Predicate | importanceInBurgundy |
P96290
|
FINISHED |
| Object | key ancestor of major Burgundian grapes |
—
|
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: key ancestor of major Burgundian grapes | Statement: [Gouet, importanceInBurgundy, key ancestor of major Burgundian grapes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: importanceInBurgundy Context triple: [Gouet, importanceInBurgundy, key ancestor of major Burgundian grapes]
-
A.
positionInCôteDeBeaune
Indicates that something is located within or belongs to the Côte de Beaune subregion.
-
B.
significanceForFrance
Indicates that something holds particular importance, impact, or relevance specifically in the context of France.
-
C.
numberOfBeaujolaisCrus
Indicates the specific count of Beaujolais crus associated with or relevant to an entity.
-
D.
numberOfCrusInBeaujolais
Indicates the specific count of distinct crus (officially recognized vineyard areas) within the Beaujolais wine region.
-
E.
hasLargestWinegrowingCommune
Indicates that one entity possesses or contains the largest winegrowing commune in comparison to other relevant entities.
- 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_69d6aa8550c8819095508a2ed9acf3db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75d02e4c88190b8286078e90bf913 |
completed | April 9, 2026, 8:02 a.m. |
| PD | Predicate disambiguation | batch_69d70d3943c881908895397eccc3e415 |
completed | April 9, 2026, 2:21 a.m. |
| PDg | Predicate description generation | batch_69d7101de31c819090707635f6790559 |
completed | April 9, 2026, 2:34 a.m. |
Created at: April 8, 2026, 9:21 p.m.