Triple

T10947387
Position Surface form Disambiguated ID Type / Status
Subject Gull Lake Rotary Park E258631 entity
Predicate region P40 FINISHED
Object Muskoka E519038 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 | Statement: [Gull Lake Rotary Park, region, Muskoka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Muskoka
Context triple: [Gull Lake Rotary Park, region, Muskoka]
  • A. Muskoka chosen
    Muskoka is a popular cottage and vacation region in Ontario, Canada, known for its scenic lakes, forests, and upscale resorts.
  • B. Beloozero
    Beloozero is a historic town in northwestern Russia, known as one of the oldest Russian settlements and an early center of medieval Rus.
  • C. Lieksa
    Lieksa is a small town and municipality in eastern Finland known for its forests, lakes, and proximity to Koli National Park.
  • D. Onega Peninsula
    The Onega Peninsula is a large, sparsely populated landmass in northwestern Russia that juts into the White Sea and is known for its rugged coastline and northern taiga landscapes.
  • E. Kholmsk
    Kholmsk is a port town on the western coast of Sakhalin Island in Russia, serving as an important maritime transport hub in the Sea of Japan.
  • 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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770ebac3c8190849ddda3d9d37327 completed April 9, 2026, 9:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69e3c7fbf1e08190867151b624a2ee70 completed April 18, 2026, 6:05 p.m.
Created at: April 8, 2026, 9:23 p.m.