Triple

T15422541
Position Surface form Disambiguated ID Type / Status
Subject DAV E369417 entity
Predicate locatedInCityOfStation P78960 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: [DAV, locatedInCityOfStation, Toronto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toronto
Context triple: [DAV, locatedInCityOfStation, 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 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.
  • 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. 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: locatedInCityOfStation
Context triple: [DAV, locatedInCityOfStation, Toronto]
  • A. hasStationInCity chosen
    Indicates that a station or facility is located within a particular city.
  • B. isSuburbanStationOf
    Indicates that a station is located in a suburban area and functionally serves as a subsidiary or outlying station of a main or central station.
  • C. hasStationAt
    Indicates that an entity maintains or operates a station located at a specified place.
  • D. basedInCity
    Indicates that an entity has its primary location, headquarters, or main operations situated in a specified city.
  • E. locatedInPlannedCity
    Indicates that something is situated within the boundaries of a city that was deliberately designed and planned rather than having developed organically.
  • F. None of above.

Provenance (4 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_69d85a1849f48190bf898068b2806fae completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ec032548190840b558dde6057c7 completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff21a18c548190b8591776828c1793 completed May 9, 2026, 11:59 a.m.
PD Predicate disambiguation batch_69ded27f45548190a6d2b1b85cb47444 completed April 14, 2026, 11:49 p.m.
Created at: April 10, 2026, 3:20 a.m.