Triple

T22462847
Position Surface form Disambiguated ID Type / Status
Subject Red Guide E555272 entity
Predicate awardType P1619 FINISHED
Object Michelin star NE NERFINISHED

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: Michelin star | Statement: [Red Guide, awardType, Michelin star]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michelin star
Context triple: [Red Guide, awardType, Michelin star]
  • A. Michelin Stars chosen
    Michelin Stars are prestigious culinary awards that recognize and rank exceptional restaurants for the quality of their cuisine, service, and overall dining experience.
  • B. Michelin Green Star
    The Michelin Green Star is a distinction awarded by the Michelin Guide to restaurants that demonstrate outstanding commitment to sustainable gastronomy and environmentally responsible practices.
  • C. Michelin Guide
    The Michelin Guide is an influential series of restaurant and hotel guides best known for awarding coveted Michelin stars that signify exceptional culinary quality.
  • D. Le Cinq has three Michelin stars
    Le Cinq is the renowned three-Michelin-star fine-dining restaurant located in the Four Seasons Hotel George V in Paris.
  • E. Michelin Green Guide
    The Michelin Green Guide is a series of travel guidebooks published by Michelin that provide cultural, historical, and practical information along with star-rated recommendations for sights and attractions around the world.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e51fdec8190adfdf9f8a6362221 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15b80983081908084947b2e31c9d4 completed April 29, 2026, 1:14 a.m.
Created at: April 16, 2026, 8:48 p.m.