Triple
T3853542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Languedoc AOC |
E85355
|
entity |
| Predicate | grapeVarietyAllowed |
P37246
|
FINISHED |
| Object | Piquepoul |
E257333
|
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 | Statement: [Languedoc AOC, grapeVarietyAllowed, Piquepoul]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Piquepoul Context triple: [Languedoc AOC, grapeVarietyAllowed, Piquepoul]
-
A.
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.
-
B.
Mouton
Mouton is an academic publishing house known for its influential works in linguistics and related fields.
-
C.
Sévrier
Sévrier is a French lakeside commune in the Haute-Savoie department, known for its scenic setting on the western shore of Lake Annecy near the Alps.
-
D.
Gouet
chosen
Gouet is an old French white grape variety, better known as Gouais Blanc, historically used in Europe and notable as a parent of many classic wine grapes.
-
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_69aed936de1c81908f91bed80f70abb2 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec0438308190865ff74bee5a1cf2 |
completed | March 9, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5041c7250819093b2743afeb6e36c |
completed | March 14, 2026, 6:45 a.m. |
Created at: March 9, 2026, 3:19 p.m.