Triple
T3873782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minervois AOC |
E92447
|
entity |
| Predicate | grapeVarietyUsed |
P975
|
FINISHED |
| Object | Piquepoul Blanc |
E395512
|
NE 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: Piquepoul Blanc | Statement: [Minervois AOC, grapeVarietyUsed, Piquepoul Blanc]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Piquepoul Blanc Context triple: [Minervois AOC, grapeVarietyUsed, Piquepoul Blanc]
-
A.
Piquepoul Noir
chosen
Piquepoul Noir is a rare, traditional red wine grape variety from southern France, known for producing light, fresh, and aromatic wines often used in blends.
-
B.
Gouais Blanc
Gouais Blanc is an ancient white wine grape variety historically important as a parent of many classic European grapes, including Chardonnay.
-
C.
Aligoté
Aligoté is a white grape variety from Burgundy known for producing light, crisp, and high-acid wines often enjoyed young.
-
D.
Mouton-Duvernet
Mouton-Duvernet is a Paris Métro station in the 14th arrondissement, serving the Montparnasse area and named after the French general Régis Barthélemy Mouton-Duvernet.
-
E.
Limousin
Limousin is a former administrative region in central France known for its rural landscapes, cattle breeding, and historic towns such as Limoges and Tulle.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69aed967448c819086c4b358d37b25aa |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec581adc81909219e6f025fc97c2 |
completed | March 9, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b51c83512c81908db2e442b7d2aca0 |
completed | March 14, 2026, 8:29 a.m. |
Created at: March 9, 2026, 3:20 p.m.