Triple

T2317042
Position Surface form Disambiguated ID Type / Status
Subject Gravenhurst E51088 entity
Predicate locatedIn P40 FINISHED
Object Muskoka region E121247 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 region | Statement: [Gravenhurst, locatedIn, Muskoka region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Muskoka region
Context triple: [Gravenhurst, locatedIn, Muskoka region]
  • A. Tver Karelia
    Tver Karelia is a historical region of the Karelian people located in the Tver Oblast of Russia, formed by Karelian resettlements from their traditional northern homelands.
  • B. Kivalliq Region
    Kivalliq Region is an administrative region of Nunavut in northern Canada, known for its Inuit communities, tundra landscapes, and Arctic wildlife.
  • C. Pskov Oblast
    Pskov Oblast is a federal subject of western Russia bordering the Baltic states and Belarus, known for its historic city of Pskov and numerous medieval fortresses.
  • D. Muskoka District Municipality chosen
    Muskoka District Municipality is a popular cottage-country region in Ontario, Canada, known for its scenic lakes, forests, and tourism-based communities.
  • E. Arkhangelsk Oblast
    Arkhangelsk Oblast is a large, sparsely populated region in northern Russia, known for its harsh Arctic climate, extensive forests, and historical role as a site of Soviet-era labor camps and deportations.
  • 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_69a88b074b908190ae983dbca7757d88 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc62df2048190ac7a5ebc0a4139b2 completed March 7, 2026, 6:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae8964902081909070dd03ccb7cf1f completed March 9, 2026, 8:48 a.m.
Created at: March 4, 2026, 7:49 p.m.