Triple

T17389030
Position Surface form Disambiguated ID Type / Status
Subject Brant County E422766 entity
Predicate hasCountySeat P383 FINISHED
Object Paris, Ontario NE NERFINISHED

How this triple was built (2 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: Paris, Ontario | Statement: [Brant County, hasCountySeat, Paris, Ontario]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paris, Ontario
Context triple: [Brant County, hasCountySeat, Paris, Ontario]
  • A. Paris, Ontario, Canada chosen
    Paris, Ontario, Canada is a small town in southwestern Ontario known for its historic downtown, riverside setting, and as the birthplace of Canadian hockey player and politician Syl Apps.
  • B. LaSalle, Ontario
    LaSalle, Ontario is a suburban town located along the Detroit River near Windsor in southwestern Ontario, known for its residential communities and waterfront recreation.
  • C. Joliette, Quebec
    Joliette, Quebec is a small city in the Lanaudière region northeast of Montreal, known as a regional cultural and administrative center.
  • D. Joliette
    Joliette is a Montreal Metro station on the Green Line serving the Mercier–Hochelaga-Maisonneuve borough in Montreal, Quebec, Canada.
  • E. Portland, Ontario
    Portland, Ontario is a small lakeside village in Eastern Ontario, Canada, known for its location on the Rideau Canal and its recreational boating and cottage activities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889d710288190bf0f4762801fefae completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a8c718c81909cb20749aaf12897 completed April 19, 2026, 2:14 a.m.
Created at: April 10, 2026, 5:45 a.m.