Triple

T9011499
Position Surface form Disambiguated ID Type / Status
Subject Greater Golden Horseshoe E215483 entity
Predicate contains P35 FINISHED
Object City of Brampton E30924 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: City of Brampton | Statement: [Greater Golden Horseshoe, contains, City of Brampton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Brampton
Context triple: [Greater Golden Horseshoe, contains, City of Brampton]
  • A. Brampton
    Brampton is a market town in Cumbria, England, known for its historic architecture and proximity to Hadrian’s Wall.
  • B. Brampton chosen
    Brampton is a large suburban city in the Greater Toronto Area known for its diverse population and rapidly growing economy.
  • C. Bloomfield, Ontario
    Bloomfield, Ontario is a small village in Prince Edward County known for its historic charm, local shops, and proximity to the region’s wineries and scenic countryside.
  • D. Tillsonburg, Ontario
    Tillsonburg, Ontario is a small town in southwestern Ontario known historically for its tobacco farming and agricultural roots.
  • E. Uxbridge, Ontario
    Uxbridge, Ontario is a rural township in Durham Region known for its extensive trail systems, rolling countryside, and designation as the “Trail Capital of Canada.”
  • 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_69ca83a2bf088190986ee7a8eb90407d completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc69f846f88190af65dfcf8bdd936a completed April 1, 2026, 12:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdb9dca848190952427bb5712081f completed April 3, 2026, 3:24 p.m.
Created at: March 30, 2026, 7:06 p.m.