Triple
T10074499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fronton wine region |
E213714
|
entity |
| Predicate | authorizedGrape |
P37246
|
FINISHED |
| Object |
Cinsaut
Cinsaut is a red wine grape variety from southern France, known for producing soft, fruity wines and often used in blends and rosé.
|
E838336
|
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: Cinsaut | Statement: [Fronton wine region, authorizedGrape, Cinsaut]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cinsaut Context triple: [Fronton wine region, authorizedGrape, Cinsaut]
-
A.
Hippolais
Hippolais is a genus of small insectivorous warblers found mainly in Europe, North Africa, and western Asia.
-
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.
Cesqeaux
Cesqeaux is a Dutch DJ and electronic music producer known for his energetic trap and bass-heavy festival tracks.
-
D.
Veluws
Veluws is a Dutch Low Saxon dialect spoken in the Veluwe region of the Netherlands, closely related to other eastern Dutch dialects such as Achterhooks.
-
E.
Mouton
Mouton is an academic publishing house known for its influential works in linguistics and related 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: Cinsaut Triple: [Fronton wine region, authorizedGrape, Cinsaut]
Generated description
Cinsaut is a red wine grape variety from southern France, known for producing soft, fruity wines and often used in blends and rosé.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cinsaut Target entity description: Cinsaut is a red wine grape variety from southern France, known for producing soft, fruity wines and often used in blends and rosé.
-
A.
Hippolais
Hippolais is a genus of small insectivorous warblers found mainly in Europe, North Africa, and western Asia.
-
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.
Cesqeaux
Cesqeaux is a Dutch DJ and electronic music producer known for his energetic trap and bass-heavy festival tracks.
-
D.
Veluws
Veluws is a Dutch Low Saxon dialect spoken in the Veluwe region of the Netherlands, closely related to other eastern Dutch dialects such as Achterhooks.
-
E.
Mouton
Mouton is an academic publishing house known for its influential works in linguistics and related 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_69ca839add308190b57d53b4ec21f2d0 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd017b8288190a577bd66e4ba66b7 |
completed | April 2, 2026, 2:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d29abcb72c81908c265f057532ccb7 |
completed | April 5, 2026, 5:24 p.m. |
| NEDg | Description generation | batch_69d29b9910448190b148841c85f73501 |
completed | April 5, 2026, 5:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d29c285090819093e1a584c1ae9556 |
completed | April 5, 2026, 5:30 p.m. |
Created at: March 30, 2026, 8:59 p.m.