Triple

T22303371
Position Surface form Disambiguated ID Type / Status
Subject Nipigon E551311 entity
Predicate hasNearbyAttraction P2064 FINISHED
Object Lake Nipigon NE NERFINISHED

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: Lake Nipigon | Statement: [Nipigon, hasNearbyAttraction, Lake Nipigon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Nipigon
Context triple: [Nipigon, hasNearbyAttraction, Lake Nipigon]
  • A. Lake Nipigon chosen
    Lake Nipigon is a large, remote freshwater lake in northwestern Ontario, Canada, known as the largest lake entirely within the province and a major headwater of Lake Superior.
  • B. Lake Nipissing
    Lake Nipissing is a large, shallow lake in northeastern Ontario, Canada, known for its recreational fishing, boating, and role as a regional tourism and transportation hub.
  • C. Wabigoon Lake
    Wabigoon Lake is a large freshwater lake in northwestern Ontario, Canada, known for its recreational fishing, boating, and proximity to the city of Dryden.
  • D. Lake Algonquin
    Lake Algonquin is a small recreational lake in the Adirondack region of New York, known for activities like boating, fishing, and lakeside relaxation.
  • E. Lac Seul
    Lac Seul is a large reservoir and lake in northwestern Ontario, Canada, known for its extensive shoreline, hydroelectric generation, and popular walleye fishing.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e46c0188190800181a4233f28fe completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15725de488190a32006cd99dd4a67 completed April 29, 2026, 12:56 a.m.
Created at: April 16, 2026, 8:41 p.m.