Triple

T14815778
Position Surface form Disambiguated ID Type / Status
Subject Francs Côtes de Bordeaux AOC E348309 entity
Predicate typicalRedBlendProfile P115836 FINISHED
Object Merlot-dominant with Cabernet Franc and Cabernet Sauvignon 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: Merlot-dominant with Cabernet Franc and Cabernet Sauvignon | Statement: [Francs Côtes de Bordeaux AOC, typicalRedBlendProfile, Merlot-dominant with Cabernet Franc and Cabernet Sauvignon]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalRedBlendProfile
Context triple: [Francs Côtes de Bordeaux AOC, typicalRedBlendProfile, Merlot-dominant with Cabernet Franc and Cabernet Sauvignon]
  • A. typicalBlendMerlotPercentage
    Indicates the usual proportion of Merlot used in a blend relative to the other grape varieties.
  • B. typicalBlendCabernetFrancPercentage
    Indicates the percentage of Cabernet Franc that is typically included in a particular wine blend.
  • C. typicalAlcoholRangeRed
    Indicates that the subject red wine typically falls within a specified range of alcohol content.
  • D. redWineRequired
    Indicates that red wine is needed or mandated in the given context or situation.
  • E. grapeColorForReds
    Indicates that the predicate specifies the typical color of grapes used to produce red wines.
  • 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_69d822eb8f588190bf53445e730a934f completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decfe2c1ec81908b3dff7a5d0e85d0 completed April 14, 2026, 11:38 p.m.
PD Predicate disambiguation batch_69de8c0ef8a4819092d84478b1f56db1 completed April 14, 2026, 6:48 p.m.
PDg Predicate description generation batch_69de8f4b67cc8190b84b59fcec5cf579 completed April 14, 2026, 7:02 p.m.
Created at: April 10, 2026, 1:49 a.m.