Triple

T5572345
Position Surface form Disambiguated ID Type / Status
Subject District Municipality of Muskoka E146231 entity
Predicate hasMajorLake P1025 FINISHED
Object Lake Joseph E693677 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 Joseph | Statement: [District Municipality of Muskoka, hasMajorLake, Lake Joseph]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Joseph
Context triple: [District Municipality of Muskoka, hasMajorLake, Lake Joseph]
  • A. Lake Joseph chosen
    Lake Joseph is a popular, upscale recreational lake in Ontario’s Muskoka region, known for its clear waters, luxury cottages, and boating.
  • B. White Lake
    White Lake is a small resort town and natural freshwater lake in southeastern North Carolina known for its clear, spring-fed waters and recreational tourism.
  • C. White Lake
    White Lake is a large freshwater lake in Russia’s Vologda Oblast that forms an important link in the Volga–Baltic waterway system.
  • D. White Lake
    White Lake is a freshwater lake in western Michigan known for its recreational opportunities and proximity to the Lake Michigan shoreline.
  • E. Pere Marquette Lake
    Pere Marquette Lake is a small coastal lake in Ludington, Michigan, connected to Lake Michigan and known for its recreational boating and fishing.
  • 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_69c008ffed108190a084602227af6157 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c020518f348190879ac67dab307134 completed March 22, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69e623a9711081908eac4238a717305c completed April 20, 2026, 1:01 p.m.
Created at: March 22, 2026, 3:37 p.m.