Triple

T8011455
Position Surface form Disambiguated ID Type / Status
Subject Bruce County E186502 entity
Predicate hasTown P847 FINISHED
Object Saugeen Shores E581618 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: Saugeen Shores | Statement: [Bruce County, hasTown, Saugeen Shores]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saugeen Shores
Context triple: [Bruce County, hasTown, Saugeen Shores]
  • A. Saugeen Shores, Ontario chosen
    Saugeen Shores, Ontario is a lakeside town on the shores of Lake Huron known for its beaches, tourism, and small-town community in Bruce County.
  • B. Lambton Shores
    Lambton Shores is a lakeside municipality in southwestern Ontario, Canada, known for its beaches, parks, and small communities along the shores of Lake Huron.
  • C. Beachville, Ontario
    Beachville, Ontario is a small rural community in Oxford County known historically for its limestone quarries and early baseball heritage.
  • D. Komoka
    Komoka is a small community in southwestern Ontario, Canada, situated just west of London and known for its residential character and nearby conservation and recreational areas.
  • E. Temiskaming Shores
    Temiskaming Shores is a small city in northeastern Ontario, Canada, situated on the shores of Lake Timiskaming and known for its mining, agriculture, and forestry-based economy.
  • 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_69ca82abaffc8190ab8af79cdbc31ab3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3d722fbc8190b22745b581421f16 completed March 31, 2026, 3:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc56acfcf88190a0e694f60f2907d2 completed March 31, 2026, 11:20 p.m.
Created at: March 30, 2026, 5:19 p.m.