Triple

T9009526
Position Surface form Disambiguated ID Type / Status
Subject Greater Madawaska E215431 entity
Predicate containsCommunity P8617 FINISHED
Object Calabogie E590123 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: Calabogie | Statement: [Greater Madawaska, containsCommunity, Calabogie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Calabogie
Context triple: [Greater Madawaska, containsCommunity, Calabogie]
  • A. Calabogie chosen
    Calabogie is a small community in eastern Ontario, Canada, known for its lake, ski resort, and motorsports track.
  • B. Deseronto
    Deseronto is a small town in southeastern Ontario, Canada, located on the Bay of Quinte and known historically for its lumber and shipping industries.
  • C. Moosonee
    Moosonee is a remote northern Ontario community near James Bay, often considered a gateway to Canada’s Arctic region.
  • D. Ranco Lake
    Ranco Lake is a large glacial lake in southern Chile known for its scenic Andean surroundings, clear waters, and popularity for fishing and outdoor recreation.
  • E. Tupper Lake
    Tupper Lake is a scenic lake and small community in northern New York known as a gateway to outdoor recreation in the Adirondack region.
  • 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_69ca83a2bf088190986ee7a8eb90407d completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc69c00ae8819090786385a72e8baf completed April 1, 2026, 12:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0ec84348190944a2310a6a60448 completed April 3, 2026, 2:38 p.m.
Created at: March 30, 2026, 7:06 p.m.