Triple

T1848850
Position Surface form Disambiguated ID Type / Status
Subject Southwestern France E41345 entity
Predicate famousProduct P1448 FINISHED
Object Roquefort cheese E162264 NE 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: Roquefort cheese | Statement: [Southwestern France, famousProduct, Roquefort cheese]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roquefort cheese
Context triple: [Southwestern France, famousProduct, Roquefort cheese]
  • A. Roquefort chosen
    Roquefort is a famous French blue cheese made from sheep's milk and aged in the natural caves of Roquefort-sur-Soulzon.
  • B. Mont d'Or cheese
    Mont d'Or cheese is a soft, rich, washed-rind cow’s milk cheese from the Jura region of France, traditionally sold in a spruce-wood box and eaten warm and spoonable.
  • C. Camembert cheese
    Camembert cheese is a soft, creamy, surface-ripened cow’s milk cheese from France, famous for its bloomy white rind and rich, earthy flavor.
  • D. Comté cheese
    Comté cheese is a traditional French cow’s milk cheese from the Jura region, known for its firm texture, complex nutty flavor, and long aging process.
  • E. Munster cheese
    Munster cheese is a strong-smelling, soft cow’s milk cheese from eastern France, especially known for its washed rind and pungent, tangy flavor.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a88648cd44819093303206d96d76ad completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb06570248190ae2c1f1716f3aa97 completed March 7, 2026, 4:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69adc9c5852081909e178b7e55c11bc7 completed March 8, 2026, 7:11 p.m.
Created at: March 4, 2026, 7:33 p.m.