Triple

T8673859
Position Surface form Disambiguated ID Type / Status
Subject Ford Freestar E205865 entity
Predicate assemblyProvinceOrState P84411 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: [Ford Freestar, assemblyProvinceOrState, Ontario]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ontario
Context triple: [Ford Freestar, assemblyProvinceOrState, 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: assemblyProvinceOrState
Context triple: [Ford Freestar, assemblyProvinceOrState, Ontario]
  • A. provinceName
    Indicates that a province entity is associated with its specific name as a textual label.
  • B. teamProvinceOrState
    Indicates that a team is located in, or associated with, a particular province or state.
  • C. provinceOf
    Indicates that one administrative region functions as a province belonging to or governed by a larger territorial or political entity.
  • D. isProvinceOf
    Indicates that one region holds the administrative status of a province within, and is governed as a subnational division of, another political entity.
  • E. hasProvinceName
    Indicates that an entity (such as a province or region) bears or is associated with a specific province name.
  • F. None of above. chosen

Provenance (5 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_69ca83529a9c8190b5c075b4f14636ed completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4ae6d19c8190be003f7901c0468d completed March 31, 2026, 10:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf285de8c081908abca2189f206a40 completed April 3, 2026, 2:39 a.m.
PD Predicate disambiguation batch_69cc4567b5c881908d9ec5dcfc783fac completed March 31, 2026, 10:06 p.m.
PDg Predicate description generation batch_69cc4ae517108190a71a86349815f4ce completed March 31, 2026, 10:29 p.m.
Created at: March 30, 2026, 6:31 p.m.