Triple

T6623971
Position Surface form Disambiguated ID Type / Status
Subject Riverside Municipal Airport E149748 entity
Predicate operator P179 FINISHED
Object City of Riverside E20504 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: [Riverside Municipal Airport, operator, City of Riverside]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: City of Riverside
Context triple: [Riverside Municipal Airport, operator, 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 leisure and entertainment district in Norwich, England, featuring shops, restaurants, a cinema, and nightlife venues along the riverside.
  • C. Riverside
    Riverside is a suburban neighborhood and village within the city of East Providence in Rhode Island, known for its residential character and proximity to Narragansett Bay.
  • 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_69c687ed8a9c81908bb671717cb192ef completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af7fc054819099a2e58cefd8fed7 completed March 27, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f78f667c81908c2de74009c8e073 completed March 27, 2026, 9:33 p.m.
Created at: March 27, 2026, 1:58 p.m.