Triple

T10863749
Position Surface form Disambiguated ID Type / Status
Subject Muskoka Steamships E256473 entity
Predicate serviceArea P82 FINISHED
Object Muskoka Lakes E804274 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: Muskoka Lakes | Statement: [Muskoka Steamships, serviceArea, Muskoka Lakes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Muskoka Lakes
Context triple: [Muskoka Steamships, serviceArea, Muskoka Lakes]
  • A. Muskoka lakes chosen
    Muskoka lakes are a popular cottage-country region in Ontario, Canada, renowned for their scenic freshwater lakes, forested shorelines, and recreational boating and fishing.
  • B. Tustumena Lake
    Tustumena Lake is a large glacial lake on Alaska’s Kenai Peninsula, known for its remote wilderness setting, cold turquoise waters, and surrounding mountainous terrain.
  • C. Kachess Lake
    Kachess Lake is a large reservoir in the central Cascade Range of Washington State, popular for camping, boating, and outdoor recreation.
  • D. Dobskie Lake
    Dobskie Lake is a scenic freshwater lake in Poland’s Masurian Lake District, known for its natural beauty and popular recreational activities such as sailing and fishing.
  • E. Mamry Lake
    Mamry Lake is one of Poland’s largest and most scenic lakes, renowned for its clear waters, numerous islands, and popularity for sailing and water 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_69d6aa83d1448190a66d93c32394d21f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75152f93081909a8186bab5efaf97 completed April 9, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7d5359c8190b46a6b817938eb67 completed April 15, 2026, 8:40 p.m.
Created at: April 8, 2026, 9:20 p.m.