Triple

T9116364
Position Surface form Disambiguated ID Type / Status
Subject City of Ontario E218727 entity
Predicate airportCode P418 FINISHED
Object ONT E84262 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: ONT | Statement: [City of Ontario, airportCode, ONT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ONT
Context triple: [City of Ontario, airportCode, ONT]
  • A. ONT chosen
    ONT is the IATA airport code for Ontario International Airport, a commercial airport serving the Inland Empire region of Southern California.
  • B. Tennessee
    Tennessee is a southeastern U.S. state known for its diverse landscapes from the Appalachian Mountains to the Mississippi River, and for major cultural centers like Nashville and Memphis that have shaped American music and history.
  • C. Mon State
    Mon State is a coastal administrative region in southeastern Myanmar known for its ethnically diverse population, including significant Mon and Karen communities, and its historical and cultural importance.
  • D. Arkansas
    Arkansas is a landlocked state in the southern United States known for its diverse geography, including the Ozark and Ouachita Mountains, forests, and fertile plains.
  • E. TON
    TON is the three-letter ISO 3166-1 alpha-3 country code representing the Kingdom of Tonga.
  • 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_69ca83dc94ac8190b9ef42684d36ff39 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8a4c9e08190ba3603a5d00afb20 completed April 1, 2026, 5:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0307299ec8190acade4f388642e23 completed April 3, 2026, 9:26 p.m.
Created at: March 30, 2026, 7:17 p.m.