Triple

T6257201
Position Surface form Disambiguated ID Type / Status
Subject Hugh Garner E140198 entity
Predicate notableWork P4 FINISHED
Object Cabbagetown 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 | Statement: [Hugh Garner, notableWork, Cabbagetown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cabbagetown
Context triple: [Hugh Garner, notableWork, Cabbagetown]
  • 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. Parkdale
    Parkdale is a historic west-end Toronto neighbourhood known for its diverse community, Victorian-era homes, and proximity to the waterfront.
  • E. Centretown
    Centretown is a central, densely populated downtown neighborhood in Ottawa, Ontario, known for its mix of residential streets, commercial corridors, and cultural institutions.
  • 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_69c244379f308190b73fe7ed4ed678e9 completed March 24, 2026, 7:58 a.m.
Created at: March 22, 2026, 4:24 p.m.