Triple

T3816262
Position Surface form Disambiguated ID Type / Status
Subject Ontario International Airport E84262 entity
Predicate owner P347 FINISHED
Object City of Ontario E218727 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 Ontario | Statement: [Ontario International Airport, owner, City of Ontario]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Ontario
Context triple: [Ontario International Airport, owner, City of Ontario]
  • A. City of Ontario chosen
    The City of Ontario is a major suburban city in southwestern San Bernardino County, California, known for its international airport, logistics hubs, and role as an Inland Empire commercial center.
  • B. City of Hamilton
    The City of Hamilton is the capital of Bermuda, serving as its primary commercial and political center.
  • C. City of Hamilton
    The City of Hamilton is a major industrial and port city in Ontario, Canada, located on the western tip of Lake Ontario and forming a key urban center within the Greater Toronto and Hamilton Area.
  • D. Aurora, Ontario
    Aurora, Ontario is a suburban town in the Greater Toronto Area known for its residential communities, historic downtown, and role as a regional commercial and commuter hub.
  • E. London, Ontario
    London, Ontario is a mid-sized Canadian city in southwestern Ontario known for its educational institutions, healthcare sector, and role as a regional economic and cultural hub.
  • 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_69aed931f5908190be2c07af66d4df25 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee8e05f448190ba15e9ced97bd9fc completed March 9, 2026, 3:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fb40b0dc8190845bd62774f4a55b completed March 14, 2026, 6:08 a.m.
Created at: March 9, 2026, 3:17 p.m.