Triple

T8805576
Position Surface form Disambiguated ID Type / Status
Subject Highway 17 (Ontario) E209520 entity
Predicate connects P390 FINISHED
Object Schreiber, Ontario E767116 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: Schreiber, Ontario | Statement: [Highway 17 (Ontario), connects, Schreiber, Ontario]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schreiber, Ontario
Context triple: [Highway 17 (Ontario), connects, Schreiber, Ontario]
  • A. Schreiber, Ontario chosen
    Schreiber, Ontario is a small township in Northwestern Ontario located along the north shore of Lake Superior and historically tied to the Canadian Pacific Railway.
  • B. Hearst, Ontario
    Hearst, Ontario is a small bilingual (French-English) town in northern Ontario known for its forestry-based economy and strong Franco-Ontarian culture.
  • C. Horton, Ontario
    Horton, Ontario is a rural township in Renfrew County known for its agricultural landscape and proximity to the Ottawa River in eastern Ontario, Canada.
  • D. Wawa, Ontario
    Wawa, Ontario is a small town in northern Ontario, Canada, known for its proximity to Lake Superior and its iconic giant Canada goose statue.
  • E. Galt, Ontario
    Galt, Ontario was a historic town in southern Ontario that later became one of the constituent communities of the city of Cambridge.
  • 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_69ca836320e48190b5cf585b90a322c4 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5fd04eb88190acc4e085d82016c0 completed March 31, 2026, 11:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfd07d7214819083eb74a5a1a4af2a completed April 3, 2026, 2:36 p.m.
Created at: March 30, 2026, 6:45 p.m.