Triple

T9875480
Position Surface form Disambiguated ID Type / Status
Subject Guignol puppet theatre E240062 entity
Predicate placeOfOrigin P3743 FINISHED
Object Lyon E15889 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: Lyon | Statement: [Guignol puppet theatre, placeOfOrigin, Lyon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lyon
Context triple: [Guignol puppet theatre, placeOfOrigin, Lyon]
  • A. Lyon chosen
    Lyon is a major city in east-central France known for its historical and architectural landmarks, gastronomy, and role as a key economic and cultural center.
  • B. Lyons
    Lyons is a small city in southeastern Georgia, United States, known as the administrative and commercial hub of Toombs County.
  • C. Lyons
    Lyons is a sports team or athletic program associated with Wheaton College, commonly referred to by this shortened name.
  • D. Lyons
    Lyons is a common English and Irish surname borne by numerous notable individuals across sports, politics, arts, and other fields.
  • E. Clermont-Ferrand
    Clermont-Ferrand is a central French city known for its historic cathedral built of black volcanic stone and as the longtime headquarters of the tire company Michelin.
  • 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_69ca84e8a0788190b9061811d50fd554 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3f9d82c81908afb4977ce4e3e4a completed April 2, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d269858f648190a9c3b730d37ecf9c completed April 5, 2026, 1:54 p.m.
Created at: March 30, 2026, 8:37 p.m.