Triple

T16118840
Position Surface form Disambiguated ID Type / Status
Subject America/Toronto E391078 entity
Predicate typicalCityExample P121548 FINISHED
Object Toronto E1525 NE FINISHED

How this triple was built (3 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 | Statement: [America/Toronto, typicalCityExample, Toronto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toronto
Context triple: [America/Toronto, typicalCityExample, Toronto]
  • 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. 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.
  • C. 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.
  • D. Toronto Centre
    Toronto Centre is a densely populated federal electoral district in downtown Toronto, Ontario, known for its diverse communities and significant political prominence.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalCityExample
Context triple: [America/Toronto, typicalCityExample, Toronto]
  • A. typicalVenueCity
    Indicates that a particular city is the usual or standard location where an event, activity, or organization is typically held or based.
  • B. city2
    Indicates a relationship where one entity is identified as a city associated with, located in, or otherwise linked to another entity.
  • C. city1
    Indicates that the subject is classified as a city.
  • D. cityOfReference
    Indicates that one entity serves as the primary or official city associated with, or used as a reference point for, another entity.
  • E. cityDepicted
    Indicates that a work (such as an image, artwork, or document) visually or representationally depicts a particular city.
  • F. None of above. chosen

Provenance (5 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_69d87f1a8dd881909f1de6ef78849874 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2016d527c8190928e73661b18a914 completed April 17, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0007813f14819093da66dd947b5378 completed May 10, 2026, 4:20 a.m.
PD Predicate disambiguation batch_69e1828518c48190a8ef3aaa46a1f639 completed April 17, 2026, 12:44 a.m.
PDg Predicate description generation batch_69e183b9d3f08190953ada68f4272996 completed April 17, 2026, 12:50 a.m.
Created at: April 10, 2026, 5 a.m.