Triple

T12251629
Position Surface form Disambiguated ID Type / Status
Subject Pays Nantais E291984 entity
Predicate primaryGrapeVariety P975 FINISHED
Object Melon de Bourgogne E223449 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: Melon de Bourgogne | Statement: [Pays Nantais, primaryGrapeVariety, Melon de Bourgogne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Melon de Bourgogne
Context triple: [Pays Nantais, primaryGrapeVariety, Melon de Bourgogne]
  • A. Melon de Bourgogne chosen
    Melon de Bourgogne is a white grape variety best known for producing the crisp, mineral-driven Muscadet wines of France’s Loire Valley.
  • B. Cavaillon melon
    The Cavaillon melon is a highly prized French variety of cantaloupe known for its sweet, fragrant orange flesh and association with the Provence region.
  • C. Virgin Prunes
    Virgin Prunes were an experimental Irish post-punk band from Dublin, known for their avant-garde performances and close association with the early U2 scene.
  • D. Cassis
    Cassis is a picturesque Mediterranean coastal town in southern France, renowned for its dramatic limestone cliffs, calanques, and white and rosé wines.
  • E. Grolleau Noir
    Grolleau Noir is a French red wine grape variety primarily used in the Loire Valley to produce light, fruity wines and rosés.
  • 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_69d6ab67950c8190be08450a06228c4b completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cc6983c81909bf479d15879a357 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e620ed88190b46d256ebe994714 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:52 p.m.