Triple

T2381734
Position Surface form Disambiguated ID Type / Status
Subject Saumur-Champigny E46324 entity
Predicate styleComparison P19247 FINISHED
Object often lighter than Bordeaux Cabernet Franc wines 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: often lighter than Bordeaux Cabernet Franc wines | Statement: [Saumur-Champigny, styleComparison, often lighter than Bordeaux Cabernet Franc wines]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: styleComparison
Context triple: [Saumur-Champigny, styleComparison, often lighter than Bordeaux Cabernet Franc wines]
  • A. styleTendsTo chosen
    Indicates that one style is generally inclined or likely to develop, appear, or be adopted in the direction of another style.
  • B. scaleComparison
    Indicates a relationship where two or more entities are compared in terms of their size, magnitude, or scale relative to one another.
  • C. styleInFull
    Indicates that something is presented, written, or expressed in its complete, unabbreviated, or fully detailed form.
  • D. stylePeriod
    Indicates the stylistic or historical period with which an entity (such as an artwork, artifact, or performance) is associated.
  • E. relatedStyle
    Indicates that one style is associated with, similar to, or derived from another style in some relevant way.
  • 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_69a88a1554a48190a0180682bcf099be completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abc7b98c988190abdb4fe51bf65bde completed March 7, 2026, 6:37 a.m.
PD Predicate disambiguation batch_69abc59f73f08190924a36d7d475d8f4 completed March 7, 2026, 6:28 a.m.
Created at: March 4, 2026, 7:57 p.m.