Triple

T16246073
Position Surface form Disambiguated ID Type / Status
Subject Cinsault E394373 entity
Predicate hasYieldPotential P32569 FINISHED
Object high 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: high | Statement: [Cinsault, hasYieldPotential, high]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasYieldPotential
Context triple: [Cinsault, hasYieldPotential, high]
  • A. yieldPotential chosen
    Indicates the expected amount or capacity of output, production, or benefit that something can generate under given conditions.
  • B. hasYield
    Indicates that one entity produces, returns, or generates a measurable output, result, or profit for another entity or context.
  • C. hasResourcePotential
    Indicates that an entity possesses the capacity or suitability to provide, generate, or support a particular resource in the future.
  • D. hasYard
    Indicates that one entity possesses or includes a yard as part of its property or premises.
  • E. hasPotential
    Indicates that an entity possesses the capacity or possibility to develop, achieve, or exhibit a particular state, quality, or outcome in the future.
  • 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_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24561d250819096f709ea8751fcb9 completed April 17, 2026, 2:36 p.m.
PD Predicate disambiguation batch_69e219ee6f6481909663b388dc99770a completed April 17, 2026, 11:30 a.m.
Created at: April 10, 2026, 5:04 a.m.