Triple

T10863752
Position Surface form Disambiguated ID Type / Status
Subject Muskoka Steamships E256473 entity
Predicate serviceArea P82 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: [Muskoka Steamships, serviceArea, Lake Joseph]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Joseph
Context triple: [Muskoka Steamships, serviceArea, 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. Lake Josephine
    Lake Josephine is a freshwater lake on Anderson Island in Washington State, known for its quiet residential shoreline and recreational activities like fishing and boating.
  • C. 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.
  • D. 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.
  • E. White Lake
    White Lake is a freshwater lake in western Michigan known for its recreational opportunities and proximity to the Lake Michigan shoreline.
  • 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_69ff82dcec0c8190a5e4ac0aafd34504 completed May 9, 2026, 6:54 p.m.
Created at: April 8, 2026, 9:20 p.m.