Triple

T17995132
Position Surface form Disambiguated ID Type / Status
Subject Peoria Unified School District E430480 entity
Predicate cityServed P82 FINISHED
Object Peoria 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: Peoria | Statement: [Peoria Unified School District, cityServed, Peoria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peoria
Context triple: [Peoria Unified School District, cityServed, Peoria]
  • A. Peoria chosen
    Peoria is a suburban city in the Phoenix metropolitan area of central Arizona, known for its rapid growth, residential communities, and recreational amenities.
  • B. Peoria
    The Peoria are a Native American people originally from the Illinois River valley and part of the Illinois (Illiniwek) Confederation.
  • 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 (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_69d8b90364248190a37381adea932f42 completed April 10, 2026, 8:46 a.m.
NER Named-entity recognition batch_69e4b3e3b060819086855bc01aceb42a completed April 19, 2026, 10:52 a.m.
Created at: April 10, 2026, 10:23 a.m.