Triple

T10687189
Position Surface form Disambiguated ID Type / Status
Subject Humber Creek E251907 entity
Predicate hasNearbyLandmark P2064 FINISHED
Object Richview
Richview is a neighborhood in Toronto, Ontario, known for its residential character and proximity to major roads and green spaces in the city's west end.
E879082 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: Richview | Statement: [Humber Creek, hasNearbyLandmark, Richview]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richview
Context triple: [Humber Creek, hasNearbyLandmark, Richview]
  • A. Maple Ridge
    Maple Ridge is a suburban city in British Columbia, Canada, located on the northeastern edge of the Metro Vancouver region.
  • B. Caledon
    Caledon is a largely rural town in southern Ontario, Canada, known for its scenic landscapes and inclusion within the Greater Toronto Area.
  • C. Windsor Heights
    Windsor Heights is a small suburban city in central Iowa that functions as part of the greater Des Moines metropolitan area.
  • D. Springhill
    Springhill is a small community located within the Township of King in Ontario, Canada.
  • E. Aldergrove
    Aldergrove is a village in County Antrim, Northern Ireland, best known for its proximity to and association with Belfast International Airport.
  • 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: Richview
Triple: [Humber Creek, hasNearbyLandmark, Richview]
Generated description
Richview is a neighborhood in Toronto, Ontario, known for its residential character and proximity to major roads and green spaces in the city's west end.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Richview
Target entity description: Richview is a neighborhood in Toronto, Ontario, known for its residential character and proximity to major roads and green spaces in the city's west end.
  • A. Maple Ridge
    Maple Ridge is a suburban city in British Columbia, Canada, located on the northeastern edge of the Metro Vancouver region.
  • B. Caledon
    Caledon is a largely rural town in southern Ontario, Canada, known for its scenic landscapes and inclusion within the Greater Toronto Area.
  • C. Windsor Heights
    Windsor Heights is a small suburban city in central Iowa that functions as part of the greater Des Moines metropolitan area.
  • D. Springhill
    Springhill is a small community located within the Township of King in Ontario, Canada.
  • E. Aldergrove
    Aldergrove is a village in County Antrim, Northern Ireland, best known for its proximity to and association with Belfast International Airport.
  • 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_69d6aa5bd7c08190a816e733b4045c23 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fd19f0f481909eeaa75d17d9c060 completed April 9, 2026, 1:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d98894cea48190877a015dcb645bee completed April 10, 2026, 11:32 p.m.
NEDg Description generation batch_69d98aeb82988190a17b009c74279423 completed April 10, 2026, 11:42 p.m.
NED2 Entity disambiguation (via description) batch_69d98c2aae048190b348e5614ff23f03 completed April 10, 2026, 11:47 p.m.
Created at: April 8, 2026, 9:10 p.m.