Triple

T11889878
Position Surface form Disambiguated ID Type / Status
Subject Miami-Illinois E282885 entity
Predicate hasDialect P4251 FINISHED
Object Peoria E933895 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: Peoria | Statement: [Miami-Illinois, hasDialect, Peoria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peoria
Context triple: [Miami-Illinois, hasDialect, Peoria]
  • A. Peoria chosen
    The Peoria are a Native American people originally from the Illinois River valley and part of the Illinois (Illiniwek) Confederation.
  • B. Peoria
    Peoria is a suburban city in the Phoenix metropolitan area of central Arizona, known for its rapid growth, residential communities, and recreational amenities.
  • C. Peoria metropolitan area
    The Peoria metropolitan area is a regional urban and economic center in central Illinois anchored by the city of Peoria and its surrounding communities.
  • D. Pekin, Illinois
    Pekin, Illinois is a small city in central Illinois along the Illinois River, historically known for its manufacturing base and as the hometown of longtime U.S. Senator Everett Dirksen.
  • E. Columbus, Illinois
    Columbus, Illinois is a small village located in Adams County in western Illinois, United States.
  • 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_69d6ab2a90b08190a4e818821cc93e6d completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8d3a2860c8190a21af5fcddbd2f1e completed April 10, 2026, 10:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69f43fe43c7c8190a85d464fd48e00d9 completed May 1, 2026, 5:53 a.m.
Created at: April 8, 2026, 9:44 p.m.