Triple

T1694438
Position Surface form Disambiguated ID Type / Status
Subject Laurentian University E36625 entity
Predicate locatedIn P40 FINISHED
Object Greater Sudbury E122673 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: Greater Sudbury | Statement: [Laurentian University, locatedIn, Greater Sudbury]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greater Sudbury
Context triple: [Laurentian University, locatedIn, Greater Sudbury]
  • A. Sudbury District
    Sudbury District is a large, sparsely populated administrative district in northeastern Ontario, Canada, known for its vast wilderness, mining history, and numerous lakes and forests.
  • B. Sudbury chosen
    Sudbury is a major city in northern Ontario, Canada, known for its mining industry and numerous surrounding lakes.
  • C. Greater Sudbury Airport
    Greater Sudbury Airport is a regional airport in Northern Ontario, Canada, serving the city of Greater Sudbury with commercial, general aviation, and air ambulance services.
  • D. Orillia
    Orillia is a small city in central Ontario, Canada, known for its lakeside setting on Lake Couchiching and Lake Simcoe and its popular waterfront and cultural festivals.
  • E. Caledon
    Caledon is a largely rural town in southern Ontario, Canada, known for its scenic landscapes and inclusion within the Greater Toronto Area.
  • 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_69a886163dec8190859c514232a37a05 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa62b3b8908190afc3f9e4a384684f completed March 6, 2026, 5:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad7998e1108190aa7430cd4ef887d9 completed March 8, 2026, 1:28 p.m.
Created at: March 4, 2026, 7:29 p.m.