Triple

T8960512
Position Surface form Disambiguated ID Type / Status
Subject King, Ontario E213989 entity
Predicate hasCommunity P2605 FINISHED
Object Nobleton, Ontario E439483 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: Nobleton, Ontario | Statement: [King, Ontario, hasCommunity, Nobleton, Ontario]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nobleton, Ontario
Context triple: [King, Ontario, hasCommunity, Nobleton, Ontario]
  • A. Nobleton chosen
    Nobleton is a small community that serves as one of the local settlements within the jurisdiction of King, Ontario, Canada.
  • B. Bloomfield, Ontario
    Bloomfield, Ontario is a small village in Prince Edward County known for its historic charm, local shops, and proximity to the region’s wineries and scenic countryside.
  • C. Morewood, Ontario
    Morewood, Ontario is a small rural community within the Township of North Dundas in Eastern Ontario, Canada.
  • D. Norval, Ontario
    Norval, Ontario is a small historic village in Halton Hills known for its scenic setting along the Credit River and its association with artist Lucy Maud Montgomery.
  • E. Lunenburg, Ontario
    Lunenburg, Ontario is a small rural community located in eastern Ontario, Canada, historically associated with the former Stormont County.
  • 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_69ca839cd6008190a1546a701a56710c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6746fbf88190aba658b4b9c2e4b0 completed April 1, 2026, 12:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc94ab868819080ff3fc7532a3874 completed April 3, 2026, 2:06 p.m.
Created at: March 30, 2026, 7 p.m.