Triple

T1075350
Position Surface form Disambiguated ID Type / Status
Subject Douglas Library E23822 entity
Predicate stateEquivalent P3520 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: [Douglas Library, stateEquivalent, Ontario]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ontario
Context triple: [Douglas Library, stateEquivalent, 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: stateEquivalent
Context triple: [Douglas Library, stateEquivalent, Ontario]
  • A. equivalentTo
    Indicates that two entities represent the same concept, value, or state, and can be treated as interchangeable in the given context.
  • B. stateRepresentation
    Indicates that one entity serves as a depiction, model, or encoding of the condition, configuration, or status of another entity.
  • C. hasEquivalent
    Indicates that two entities are considered equal in value, meaning, or function within a given context.
  • D. associatedState chosen
    Indicates that one entity is linked or connected to a particular state, condition, or status of another entity.
  • E. stateRock
    Indicates that an entity is in a solid, rock-like physical state or condition.
  • 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_69a493f1ddf48190a99d54b00e99f8ce completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b92e480c81909a848b48c196a293 completed March 1, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69acbf0e6f948190b5dc708884f20ab5 completed March 8, 2026, 12:13 a.m.
PD Predicate disambiguation batch_69a4b73ba8208190be7f3cef8c18689b completed March 1, 2026, 10:01 p.m.
Created at: March 1, 2026, 7:42 p.m.