Triple

T15422542
Position Surface form Disambiguated ID Type / Status
Subject DAV E369417 entity
Predicate locatedInProvinceOfStation P75412 FINISHED
Object Ontario E3554 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: Ontario | Statement: [DAV, locatedInProvinceOfStation, Ontario]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ontario
Context triple: [DAV, locatedInProvinceOfStation, Ontario]
  • 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. British Columbia
    British Columbia is a western Canadian province known for its Pacific coastline, mountainous landscapes, and major cities such as Vancouver and Victoria.
  • D. Manitoba
    Manitoba is a central Canadian province known for its vast prairies, numerous lakes, and northern boreal forests.
  • E. Saskatchewan
    Saskatchewan is a prairie and boreal province in western Canada known for its vast flat landscapes, agriculture, and significant natural resources.
  • 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: locatedInProvinceOfStation
Context triple: [DAV, locatedInProvinceOfStation, Ontario]
  • A. stationedInProvince chosen
    Indicates that an entity is assigned or based in a particular province as its location or area of operation.
  • B. locatedInInstitutionProvince
    Indicates that an institution is situated within a specific province.
  • C. locatedInProvinceOfOperatedVenue
    Indicates that the province specified is the administrative region in which the operated venue is geographically located.
  • D. isInProvince
    Indicates that one entity (typically a place or city) is located within the administrative boundaries of a specified province.
  • E. heldInProvince
    Indicates that an event or activity takes place within the boundaries of a specified province.
  • 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_69ff1a6991148190b522684b35c07b1a completed May 9, 2026, 11:28 a.m.
PD Predicate disambiguation batch_69ded27f45548190a6d2b1b85cb47444 completed April 14, 2026, 11:49 p.m.
Created at: April 10, 2026, 3:20 a.m.