Triple

T5805659
Position Surface form Disambiguated ID Type / Status
Subject Simcoe County E128738 entity
Predicate borders P224 FINISHED
Object Lake Simcoe E176120 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: Lake Simcoe | Statement: [Simcoe County, borders, Lake Simcoe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Simcoe
Context triple: [Simcoe County, borders, Lake Simcoe]
  • A. Lake Simcoe chosen
    Lake Simcoe is a large, popular recreational and fishing lake in south-central Ontario, Canada, situated between the Greater Toronto Area and cottage country.
  • 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. Waterloo Lake
    Waterloo Lake is a body of water located within Waterloo Lake Regional Park, serving as a central natural and recreational feature of the area.
  • D. Lake Nipigon
    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.
  • E. Kawartha Lakes
    Kawartha Lakes is a single-tier city in central Ontario, Canada, known for its scenic lakes, cottage country, and outdoor recreation.
  • 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_69c00846a0d881909e46841f8e156b64 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02b1461a48190be2042dd3823d02e completed March 22, 2026, 5:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20d12459481909eaaf52302686119 completed March 24, 2026, 4:03 a.m.
Created at: March 22, 2026, 3:52 p.m.