Triple

T15408142
Position Surface form Disambiguated ID Type / Status
Subject French Petroleum Institute E368516 entity
Predicate headquartersLocation P62 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: [French Petroleum Institute, headquartersLocation, Lyon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lyon
Context triple: [French Petroleum Institute, headquartersLocation, Lyon]
  • A. Lyon
    Lyon is a historic Scottish noble family name most prominently associated with the Earls of Strathmore and Kinghorne.
  • B. 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.
  • 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_69d85a16c68c819099c1b547fbc87b32 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03ea36c6881909eaea48e9608897a completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2ce894548190a19bab33285ad165 completed May 9, 2026, 12:47 p.m.
Created at: April 10, 2026, 3:20 a.m.