Triple

T21389204
Position Surface form Disambiguated ID Type / Status
Subject Lyons, Georgia E527592 entity
Predicate namedAfter P63 FINISHED
Object Lyons, France 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: Lyons, France | Statement: [Lyons, Georgia, namedAfter, Lyons, France]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lyons, France
Context triple: [Lyons, Georgia, namedAfter, Lyons, France]
  • A. Leon, France
    Leon, France is a French locality whose name was used as the namesake for the town of Leon in Iowa, United States.
  • B. 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.
  • 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 (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_69e0b51ff3748190935c0a513c62a12b completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69ee62cbfef08190a33ac1f198c82cd0 completed April 26, 2026, 7:09 p.m.
Created at: April 16, 2026, 5:12 p.m.