Triple

T14733912
Position Surface form Disambiguated ID Type / Status
Subject Castillon Côtes de Bordeaux AOC E346149 entity
Predicate typicalBlendProfile P2077 FINISHED
Object Merlot-dominant blends 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 blends with Cabernet Franc and Cabernet Sauvignon | Statement: [Castillon Côtes de Bordeaux AOC, typicalBlendProfile, Merlot-dominant blends with Cabernet Franc and Cabernet Sauvignon]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalBlendProfile
Context triple: [Castillon Côtes de Bordeaux AOC, typicalBlendProfile, Merlot-dominant blends with Cabernet Franc and Cabernet Sauvignon]
  • A. typicalBlendStyle chosen
    Indicates the usual or characteristic way in which two or more elements are combined or mixed together.
  • B. typicalTexture
    Indicates the usual or characteristic surface feel or consistency that is commonly associated with an entity.
  • C. notableBlendStyle
    Indicates a characteristic way in which elements are combined or mixed that is particularly distinctive or noteworthy.
  • D. typicalColorDescription
    Indicates the usual or characteristic color associated with an entity.
  • E. typicalBlendPartner
    Indicates that two entities are commonly or characteristically combined or mixed together as standard or usual partners.
  • F. None of above.

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_69d822e5911c8190ba589f957dbd9ba7 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec72ea9348190817efcdaa973d7f7 completed April 14, 2026, 11:01 p.m.
PD Predicate disambiguation batch_69de8bf9331481909582045cd567d91f completed April 14, 2026, 6:48 p.m.
Created at: April 10, 2026, 1:29 a.m.