Triple

T21669465
Position Surface form Disambiguated ID Type / Status
Subject Eagle Premier E534807 entity
Predicate assemblyLocation P40 FINISHED
Object Brampton, Ontario, Canada NE NERFINISHED

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: Brampton, Ontario, Canada | Statement: [Eagle Premier, assemblyLocation, Brampton, Ontario, Canada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brampton, Ontario, Canada
Context triple: [Eagle Premier, assemblyLocation, Brampton, Ontario, Canada]
  • A. Mississauga, Ontario, Canada
    Mississauga, Ontario, Canada is a large suburban city west of Toronto known for its diverse population, major corporate headquarters, and proximity to Toronto Pearson International Airport.
  • B. Brampton
    Brampton is a market town in Cumbria, England, known for its historic architecture and proximity to Hadrian’s Wall.
  • C. Brampton chosen
    Brampton is a large suburban city in the Greater Toronto Area known for its diverse population and rapidly growing economy.
  • D. Newtonbrook, Ontario, Canada
    Newtonbrook, Ontario, Canada is a neighbourhood in the northern part of Toronto best known as the birthplace of former Canadian Prime Minister Lester B. Pearson.
  • E. Markham, Ontario
    Markham, Ontario is a rapidly growing city in the Greater Toronto Area known for its diverse population, high-tech industry hub, and blend of urban and suburban communities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c46898008190aa618a4af55bd1ee completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef8a0a9b4481909477245d53f99cb0 completed April 27, 2026, 4:08 p.m.
Created at: April 16, 2026, 6:37 p.m.