Triple

T10273223
Position Surface form Disambiguated ID Type / Status
Subject Ontario Convention Center E240892 entity
Predicate ownedBy 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 Convention Center, ownedBy, City of Ontario]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Ontario
Context triple: [Ontario Convention Center, ownedBy, 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. King City
    King City is a small community named after and located within the municipality of King in Ontario, Canada.
  • C. King City, Ontario
    King City, Ontario is a community in the township of King, north of Toronto, known for hosting major cricket events at the Maple Leaf Cricket Club.
  • D. Oakland, Ontario
    Oakland, Ontario is a small rural community located within the County of Brant in southwestern Ontario, Canada.
  • E. Portland, Ontario
    Portland, Ontario is a small lakeside village in Eastern Ontario, Canada, known for its location on the Rideau Canal and its recreational boating and cottage activities.
  • 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_69d381a94c1881908fc38fc263d9b9c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d288acf48190bbf14a5cb2dfe1f4 completed April 7, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f813c62c8190ac3bf19eff9d36e2 completed April 9, 2026, 12:51 a.m.
Created at: April 6, 2026, 11:36 a.m.