Triple

T6257226
Position Surface form Disambiguated ID Type / Status
Subject Hugh Garner E140198 entity
Predicate setWorkIn P36470 FINISHED
Object Cabbagetown, Toronto E268903 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: Cabbagetown, Toronto | Statement: [Hugh Garner, setWorkIn, Cabbagetown, Toronto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cabbagetown, Toronto
Context triple: [Hugh Garner, setWorkIn, Cabbagetown, Toronto]
  • A. Cabbagetown chosen
    Cabbagetown is a historic downtown Toronto neighborhood known for its well-preserved Victorian homes and strong community character.
  • B. Corktown
    Corktown is Detroit’s oldest surviving neighborhood, known for its historic row houses, Irish heritage, and proximity to the former Tiger Stadium site.
  • C. Bloor West Village
    Bloor West Village is a vibrant residential and commercial neighbourhood in Toronto, Canada, known for its European-style shops, cafes, and proximity to High Park.
  • D. Forest Hill, Toronto
    Forest Hill, Toronto is an affluent residential neighbourhood known for its large homes, prestigious schools, and tree-lined streets in Toronto, Ontario.
  • E. Yorkville neighbourhood
    The Yorkville neighbourhood is an upscale, centrally located district in Toronto known for its luxury shopping, high-end dining, and cultural attractions.
  • 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_69c008c95c5c819084bd3dd56133d84d completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06366baa481908d59428cceabbe46 completed March 22, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c519246a588190b14ad9331e1a5eea completed March 26, 2026, 11:31 a.m.
Created at: March 22, 2026, 4:24 p.m.