Triple

T15071373
Position Surface form Disambiguated ID Type / Status
Subject City of Brampton council E379886 entity
Predicate governs P760 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: [City of Brampton council, governs, City of Brampton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Brampton
Context triple: [City of Brampton council, governs, 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_69d85cd7683881908d405c1b5d7b4f7f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dff7f86df48190b3a2cf441fefb477 completed April 15, 2026, 8:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c2d21348190a8045cf1847396e0 completed May 9, 2026, 3:01 p.m.
Created at: April 10, 2026, 3:02 a.m.