Triple

T10629408
Position Surface form Disambiguated ID Type / Status
Subject Château Couhins-Lurton E250410 entity
Predicate gravesClassificationCategory P39732 FINISHED
Object cru classé de Graves (white) 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: cru classé de Graves (white) | Statement: [Château Couhins-Lurton, gravesClassificationCategory, cru classé de Graves (white)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: gravesClassificationCategory
Context triple: [Château Couhins-Lurton, gravesClassificationCategory, cru classé de Graves (white)]
  • A. classificationReference
    Indicates that one entity serves as a reference or source for the classification or categorization applied to another entity.
  • B. WHOClassification
    Indicates that an entity is categorized according to the World Health Organization’s official classification system.
  • C. classificationNote
    Indicates a note or comment providing additional information or clarification about how something has been classified.
  • D. diseaseType
    Indicates that one entity is classified as a specific type or category of disease in relation to another entity.
  • E. classificationTerm chosen
    Indicates that one entity serves as a categorical label or type used to classify or group another entity.
  • 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_69d6aa5993448190a493b790b8f85010 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6df92f8388190a8bcff96809d8eb4 completed April 8, 2026, 11:06 p.m.
PD Predicate disambiguation batch_69d6dd7fae088190973f70c69738af49 completed April 8, 2026, 10:58 p.m.
Created at: April 8, 2026, 9 p.m.