Triple

T8514669
Position Surface form Disambiguated ID Type / Status
Subject Maple Ridge E201542 entity
Predicate hasNeighbourhood P4813 FINISHED
Object Haney
Haney is a historic community and commercial centre within the city of Maple Ridge in British Columbia, Canada.
E738765 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: Haney | Statement: [Maple Ridge, hasNeighbourhood, Haney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haney
Context triple: [Maple Ridge, hasNeighbourhood, Haney]
  • A. Hagey
    Hagey is a surname most notably associated with Gerald Hagey, a prominent Canadian academic and founding president of the University of Waterloo.
  • B. Hayes
    Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
  • C. Hayes
    Hayes is a common English surname borne by numerous notable figures in politics, entertainment, sports, and other fields.
  • D. Hayes
    Hayes is a suburban town in west London, England, known for its residential areas, transport links, and proximity to Heathrow Airport.
  • E. Rennie
    Rennie is a Scottish surname most notably associated with the family of civil engineers, including John Rennie the Younger.
  • 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: Haney
Triple: [Maple Ridge, hasNeighbourhood, Haney]
Generated description
Haney is a historic community and commercial centre within the city of Maple Ridge in British Columbia, Canada.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Haney
Target entity description: Haney is a historic community and commercial centre within the city of Maple Ridge in British Columbia, Canada.
  • A. Hagey
    Hagey is a surname most notably associated with Gerald Hagey, a prominent Canadian academic and founding president of the University of Waterloo.
  • B. Hayes
    Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
  • C. Hayes
    Hayes is a suburban town in west London, England, known for its residential areas, transport links, and proximity to Heathrow Airport.
  • D. Hayes
    Hayes is a common English surname borne by numerous notable figures in politics, entertainment, sports, and other fields.
  • E. Rennie
    Rennie is a Scottish surname most notably associated with the family of civil engineers, including John Rennie the Younger.
  • 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_69ca8320e5748190ac2c585a0bba8193 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe60e12848190a4a3dfa457aef275 completed March 31, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4e56ef088190b4f938486bbb7962 completed April 2, 2026, 11:09 a.m.
NEDg Description generation batch_69ce4ffac8a08190bc2131c0d260ca39 completed April 2, 2026, 11:16 a.m.
NED2 Entity disambiguation (via description) batch_69ce5117c7508190b74821d029d226c6 completed April 2, 2026, 11:20 a.m.
Created at: March 30, 2026, 6:15 p.m.