Triple

T4395333
Position Surface form Disambiguated ID Type / Status
Subject King E99472 entity
Predicate locatedNear P294 FINISHED
Object Township of Caledon E137006 NE FINISHED

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: Township of Caledon | Statement: [King, locatedNear, Township of Caledon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Township of Caledon
Context triple: [King, locatedNear, Township of Caledon]
  • A. Town of Whitchurch-Stouffville
    The Town of Whitchurch-Stouffville is a rapidly growing suburban municipality northeast of Toronto known for its mix of rural landscapes, historic village core, and expanding residential communities.
  • B. Clarington
    Clarington is a largely suburban and rural municipality in Ontario, Canada, located at the eastern edge of the Greater Toronto Area.
  • C. Township of Langley
    The Township of Langley is a largely suburban and rural municipality in British Columbia, Canada, located in the eastern part of Metro Vancouver.
  • D. Township of North Dundas
    The Township of North Dundas is a rural municipality in eastern Ontario, Canada, known for its agricultural communities and small-town character.
  • E. Caledon chosen
    Caledon is a largely rural town in southern Ontario, Canada, known for its scenic landscapes and inclusion within the Greater Toronto Area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69b345506b408190b0e3dee616738a7d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b352ab928c81909f4406d5df3e081b completed March 12, 2026, 11:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5f5ec77d081909b07ebd004be136f completed March 14, 2026, 11:57 p.m.
Created at: March 12, 2026, 11:20 p.m.