Triple

T9672514
Position Surface form Disambiguated ID Type / Status
Subject I-215 E234062 entity
Predicate passesThrough P225 FINISHED
Object city of Riverside E168486 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: city of Riverside | Statement: [I-215, passesThrough, city of Riverside]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Riverside
Context triple: [I-215, passesThrough, city of Riverside]
  • A. Riverside, California chosen
    Riverside, California is a major city in Southern California’s Inland Empire region, known as the birthplace of the state’s citrus industry and home to a campus of the University of California system.
  • B. Riverside
    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.
  • C. Riverside
    Riverside is a leisure and entertainment district in Norwich, England, featuring shops, restaurants, a cinema, and nightlife venues along the riverside.
  • D. 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.
  • E. Riverside
    Riverside is a residential suburb of the industrial town of Sasolburg in South Africa’s Free State province.
  • 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_69ca848f55e48190b3f67252571c3d45 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9c6aa01c819083fc758470096ec2 completed April 1, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18a28d1c481908737992466d35fdd completed April 4, 2026, 10:01 p.m.
Created at: March 30, 2026, 8:15 p.m.