Triple

T11470001
Position Surface form Disambiguated ID Type / Status
Subject Mississauga City Council E271878 entity
Predicate meetingProvinceOrState P26493 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: [Mississauga City Council, meetingProvinceOrState, Ontario]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ontario
Context triple: [Mississauga City Council, meetingProvinceOrState, 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: meetingProvinceOrState
Context triple: [Mississauga City Council, meetingProvinceOrState, Ontario]
  • A. teamProvinceOrState
    Indicates that a team is located in, or associated with, a particular province or state.
  • B. associatedProvinceOrState
    Indicates that one entity is linked or related to a specific province or state as its relevant administrative region.
  • C. hostProvinceOrState chosen
    Indicates that one administrative province or state serves as the host or location for another entity, such as an event, organization, or facility.
  • D. meetingPlaceTerritory
    Indicates the territory or geographic area where a meeting or gathering takes place.
  • E. provinceOf
    Indicates that one administrative region functions as a province belonging to or governed by a larger territorial or political entity.
  • 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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d82949e3688190b024a4980666c94f completed April 9, 2026, 10:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5e9377ff4819096971a77e0181eaf completed April 20, 2026, 8:52 a.m.
PD Predicate disambiguation batch_69d8086ecd6c81908f424864857762d6 completed April 9, 2026, 8:13 p.m.
Created at: April 8, 2026, 9:35 p.m.