Triple
T3873774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minervois AOC |
E92447
|
entity |
| Predicate | grapeVarietyUsed |
P975
|
FINISHED |
| Object |
Piquepoul Noir
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.
|
E395512
|
NE FINISHED |
How this triple was built (4 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 Noir | Statement: [Minervois AOC, grapeVarietyUsed, Piquepoul Noir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Piquepoul Noir Context triple: [Minervois AOC, grapeVarietyUsed, Piquepoul Noir]
-
A.
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.
-
B.
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.
-
C.
Marans
Marans is a French chicken breed renowned for its dark chocolate-brown eggs and dual-purpose use for both meat and egg production.
-
D.
Mouton
Mouton is an academic publishing house known for its influential works in linguistics and related fields.
-
E.
Rosier
Rosier is a surname of French origin borne by various notable individuals across different fields.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Piquepoul Noir Triple: [Minervois AOC, grapeVarietyUsed, Piquepoul Noir]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Piquepoul Noir Target entity description: 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.
-
A.
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.
-
B.
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.
-
C.
Marans
Marans is a French chicken breed renowned for its dark chocolate-brown eggs and dual-purpose use for both meat and egg production.
-
D.
Mouton
Mouton is an academic publishing house known for its influential works in linguistics and related fields.
-
E.
Rosier
Rosier is a surname of French origin borne by various notable individuals across different fields.
- F. None of above. chosen
Provenance (5 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_69b5124cdf588190b3b83ee8fb29450a |
completed | March 14, 2026, 7:46 a.m. |
| NEDg | Description generation | batch_69b5132715888190bc5ba6182965e813 |
completed | March 14, 2026, 7:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b513b11dcc8190a2c2e3f27b4cf25e |
completed | March 14, 2026, 7:52 a.m. |
Created at: March 9, 2026, 3:20 p.m.