Triple

T16174079
Position Surface form Disambiguated ID Type / Status
Subject Grès de Montpellier E392515 entity
Predicate typicalRedBlendStyle P115836 FINISHED
Object Grenache-Syrah-Mourvèdre based blend 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: Grenache-Syrah-Mourvèdre based blend | Statement: [Grès de Montpellier, typicalRedBlendStyle, Grenache-Syrah-Mourvèdre based blend]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalRedBlendStyle
Context triple: [Grès de Montpellier, typicalRedBlendStyle, Grenache-Syrah-Mourvèdre based blend]
  • A. typicalRedBlendProfile chosen
    Indicates that something exhibits the characteristic flavor, aroma, and structural profile commonly associated with a standard red wine blend.
  • B. typicalBlendMerlotPercentage
    Indicates the usual proportion of Merlot used in a blend relative to the other grape varieties.
  • C. typicalBlendCabernetFrancPercentage
    Indicates the percentage of Cabernet Franc that is typically included in a particular wine blend.
  • D. typicalRedWineBody
    Indicates that a wine exhibits the characteristic body (weight and mouthfeel) typically associated with red wines.
  • E. typicalBlendProportionCabernetSauvignon
    Indicates the usual proportion of Cabernet Sauvignon used in a wine blend relative to the other grape varieties.
  • 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_69d87f1d32208190942e4e499a80c18c completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21eb9b8208190b60874cec7a3a98e completed April 17, 2026, 11:51 a.m.
PD Predicate disambiguation batch_69e219d642708190ba31a90dce76a210 completed April 17, 2026, 11:30 a.m.
Created at: April 10, 2026, 5:02 a.m.