Triple

T15948291
Position Surface form Disambiguated ID Type / Status
Subject Jean-Marie Collot d'Herbois E386743 entity
Predicate workLocation P7 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: [Jean-Marie Collot d'Herbois, workLocation, Lyon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lyon
Context triple: [Jean-Marie Collot d'Herbois, workLocation, 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. Lyon
    Lyon is a historic Scottish noble family name most prominently associated with the Earls of Strathmore and Kinghorne.
  • C. Lyons
    Lyons is a small city in southeastern Georgia, United States, known as the administrative and commercial hub of Toombs County.
  • D. Lyons
    Lyons is a small town in northern Colorado known as a gateway to the Rocky Mountains and for its vibrant music and arts scene.
  • E. Lyons
    Lyons is a sports team or athletic program associated with Wheaton College, commonly referred to by this shortened name.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156d2fda8819085279d2a0f8a02ab completed April 16, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb59779788190a393237f5293fe8d completed May 9, 2026, 10:30 p.m.
Created at: April 10, 2026, 4:53 a.m.