Triple

T9116360
Position Surface form Disambiguated ID Type / Status
Subject City of Ontario E218727 entity
Predicate namedAfter P63 FINISHED
Object Ontario, Canada E3554 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: Ontario, Canada | Statement: [City of Ontario, namedAfter, Ontario, Canada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ontario, Canada
Context triple: [City of Ontario, namedAfter, Ontario, Canada]
  • A. Ontario chosen
    Ontario is Canada’s most populous province, home to the nation’s capital Ottawa and its largest city Toronto, and a major economic and cultural hub.
  • B. Ontario
    Ontario is a city in southwestern San Bernardino County, California, known as a major logistics and transportation hub anchored by Ontario International Airport and extensive freeway and rail connections.
  • C. Ontario, Canada (periodically reported)
    Ontario, Canada is a populous central Canadian province known for cities like Toronto and Ottawa, diverse landscapes, and its role as an economic and cultural hub of the country.
  • D. Scotland, Ontario
    Scotland, Ontario is a small rural community in southwestern Ontario, Canada, known historically as a farming village within the County of Brant.
  • E. Quebec, Canada
    Quebec, Canada is a predominantly French-speaking province in eastern Canada known for its rich cultural heritage, historic cities like Quebec City and Montreal, and vast natural landscapes.
  • 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_69d0478fc0c4819090de2b761804166f completed April 3, 2026, 11:04 p.m.
Created at: March 30, 2026, 7:17 p.m.