Triple

T2448832
Position Surface form Disambiguated ID Type / Status
Subject Old Toronto E53654 entity
Predicate contains P35 FINISHED
Object Cabbagetown
Cabbagetown is a historic downtown Toronto neighborhood known for its well-preserved Victorian homes and strong community character.
E268903 NE FINISHED

How this triple was built (4 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: [Old Toronto, contains, Cabbagetown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cabbagetown
Context triple: [Old Toronto, contains, Cabbagetown]
  • A. 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.
  • B. Centretown
    Centretown is a central, densely populated downtown neighborhood in Ottawa, Ontario, known for its mix of residential streets, commercial corridors, and cultural institutions.
  • C. Bayview
    Bayview is a subway station on Toronto's Line 4 Sheppard, serving the Bayview Avenue area in North York.
  • D. Brock Heights
    Brock Heights is a residential neighbourhood located within the city of Pickering in Ontario, Canada.
  • E. Thorncliffe Park
    Thorncliffe Park is a diverse, high-density residential neighbourhood in Toronto, Ontario, known for its large immigrant community and cluster of apartment towers.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Cabbagetown
Triple: [Old Toronto, contains, Cabbagetown]
Generated description
Cabbagetown is a historic downtown Toronto neighborhood known for its well-preserved Victorian homes and strong community character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cabbagetown
Target entity description: Cabbagetown is a historic downtown Toronto neighborhood known for its well-preserved Victorian homes and strong community character.
  • A. 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.
  • B. Centretown
    Centretown is a central, densely populated downtown neighborhood in Ottawa, Ontario, known for its mix of residential streets, commercial corridors, and cultural institutions.
  • C. Bayview
    Bayview is a subway station on Toronto's Line 4 Sheppard, serving the Bayview Avenue area in North York.
  • D. Brock Heights
    Brock Heights is a residential neighbourhood located within the city of Pickering in Ontario, Canada.
  • E. Thorncliffe Park
    Thorncliffe Park is a diverse, high-density residential neighbourhood in Toronto, Ontario, known for its large immigrant community and cluster of apartment towers.
  • F. None of above. chosen

Provenance (5 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_69ab495d227c8190b26ae6548eeb1019 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd0dc7ed88190920afd4817c621c9 completed March 7, 2026, 7:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef0c0069c8190bfb9e71aea4774d3 completed March 9, 2026, 4:09 p.m.
NEDg Description generation batch_69aef53740508190893b14bb1b411a30 completed March 9, 2026, 4:28 p.m.
NED2 Entity disambiguation (via description) batch_69aef9594024819088e7afc0e64429ff completed March 9, 2026, 4:46 p.m.
Created at: March 6, 2026, 9:43 p.m.