Triple

T21108194
Position Surface form Disambiguated ID Type / Status
Subject Canadian Confederation E520106 entity
Predicate initialProvinces P79461 FINISHED
Object Ontario NE NERFINISHED

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: [Canadian Confederation, initialProvinces, Ontario]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ontario
Context triple: [Canadian Confederation, initialProvinces, Ontario]
  • A. Ontario
    Ontario is a small village in Belize’s Cayo District, known as a rural community along the George Price Highway west of the capital, Belmopan.
  • B. 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.
  • C. 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.
  • D. British Columbia
    British Columbia is a western Canadian province known for its Pacific coastline, mountainous landscapes, and major cities such as Vancouver and Victoria.
  • E. Manitoba
    Manitoba is a central Canadian province known for its vast prairies, numerous lakes, and northern boreal forests.
  • 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: initialProvinces
Context triple: [Canadian Confederation, initialProvinces, Ontario]
  • A. mainProvinces
    Indicates that certain provinces are the primary or most significant administrative regions associated with a given entity.
  • B. centralProvince
    Indicates that a province occupies a central or middle position within a larger geographic, political, or administrative region.
  • C. numberOfProvinces
    Indicates the total count of provinces associated with a given entity or within a specified region or country.
  • D. traditionalProvince
    Indicates that an entity is located in, associated with, or belongs to a historically recognized or customary provincial region rather than a modern administrative unit.
  • E. baseProvince chosen
    Indicates that one administrative or territorial unit serves as the primary or originating province associated with another entity.
  • F. None of above.

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_69e0b509a318819092fbbcb21d1fe603 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e720ffa998819082db225363ac3b23 completed April 21, 2026, 7:02 a.m.
PD Predicate disambiguation batch_69e5dbff56848190a03b350a9305c612 completed April 20, 2026, 7:55 a.m.
Created at: April 16, 2026, 2:53 p.m.