Triple

T19372455
Position Surface form Disambiguated ID Type / Status
Subject Riverside Fox Theater E484575 entity
Predicate owner P347 FINISHED
Object City of Riverside 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: City of Riverside | Statement: [Riverside Fox Theater, owner, City of Riverside]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Riverside
Context triple: [Riverside Fox Theater, owner, City of Riverside]
  • A. Riverside chosen
    Riverside is a major inland city in Southern California known as the birthplace of the California citrus industry and a key center of the Inland Empire region.
  • B. Riverside
    Riverside is a residential neighborhood in Cambridge, Massachusetts, located along the Charles River and known for its mix of historic housing and proximity to Harvard University.
  • C. Riverside
    Riverside is a residential suburb of the industrial town of Sasolburg in South Africa’s Free State province.
  • D. Riverside
    Riverside is a suburban city in Montgomery County, Ohio, located near Dayton and known for its residential communities and proximity to Wright-Patterson Air Force Base.
  • E. Riverside
    Riverside is an inner-city district of Cardiff, Wales, known for its diverse community and its location along the River Taff opposite the city centre.
  • 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_69d8e8d305088190ad13571532aa454c completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e619b1b5fc819089f9fc43f407bbb0 completed April 20, 2026, 12:18 p.m.
Created at: April 10, 2026, 1:35 p.m.