Triple

T10054970
Position Surface form Disambiguated ID Type / Status
Subject Commission for the Control of Interpol’s Files E208836 entity
Predicate hasSeat P3522 FINISHED
Object Lyon, France E686908 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, France | Statement: [Commission for the Control of Interpol’s Files, hasSeat, Lyon, France]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lyon, France
Context triple: [Commission for the Control of Interpol’s Files, hasSeat, Lyon, France]
  • A. Lyon, Rhône, France chosen
    Lyon, Rhône, France is a major historic city in east-central France known for its rich cultural heritage, gastronomy, and role as an important economic and industrial center.
  • B. Lyon
    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.
  • 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 sports team or athletic program associated with Wheaton College, commonly referred to by this shortened name.
  • E. Lyons
    Lyons is a common English and Irish surname borne by numerous notable individuals across sports, politics, arts, and other fields.
  • 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_69ca836094408190a36a1ea7e9a86fcd completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcfacacd08190abe66f8bb17b92c7 completed April 2, 2026, 2:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e5676eac81909d50bfa7633b6ebe completed April 5, 2026, 10:42 p.m.
Created at: March 30, 2026, 8:57 p.m.