Triple

T13853254
Position Surface form Disambiguated ID Type / Status
Subject Bob Cole E332996 entity
Predicate workLocation P7 FINISHED
Object Toronto, Ontario E1525 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: Toronto, Ontario | Statement: [Bob Cole, workLocation, Toronto, Ontario]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toronto, Ontario
Context triple: [Bob Cole, workLocation, Toronto, Ontario]
  • A. Toronto chosen
    Toronto is the largest city in Canada and a major cultural, financial, and media hub located in the province of Ontario.
  • B. York, Ontario
    York, Ontario is a former municipality and now a district within the city of Toronto, Canada, known for its diverse residential neighborhoods and major north–south thoroughfares.
  • C. Ottawa
    Ottawa is the capital city of Canada, located in eastern Ontario along the Ottawa River and known for its federal government institutions, cultural landmarks, and bilingual character.
  • D. Ottawa
    Ottawa are an Algonquian-speaking Indigenous people of North America historically known for their role in Great Lakes trade networks and resistance to European colonial expansion.
  • E. 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.
  • 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02da9460819093a3ec5a3c62ea81 completed April 14, 2026, 9:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69fbac824a60819090894504dbb41de9 completed May 6, 2026, 9:02 p.m.
Created at: April 9, 2026, 10:14 p.m.