Triple

T18235553
Position Surface form Disambiguated ID Type / Status
Subject Georgetown, Ontario E436663 entity
Predicate censusDivision P10770 FINISHED
Object Halton 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: Halton | Statement: [Georgetown, Ontario, censusDivision, Halton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Halton
Context triple: [Georgetown, Ontario, censusDivision, Halton]
  • A. Halton
    Halton is a local government borough in Cheshire, England, encompassing the towns of Runcorn and Widnes along the River Mersey.
  • B. Halton
    Halton is a village and civil parish in Lancashire, England, situated near the River Lune and forming part of the wider Lune Valley area.
  • C. Halton chosen
    Halton is a regional municipality in Ontario, Canada, encompassing several communities including the rapidly growing Town of Milton.
  • D. Halton Hills
    Halton Hills is a town in Ontario, Canada, known for its mix of rural landscapes, historic communities like Georgetown and Acton, and its location within the commuter belt of the Toronto region.
  • E. Brampton
    Brampton is a large suburban city in the Greater Toronto Area known for its diverse population and rapidly growing economy.
  • 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_69d8b91104e08190a8241f7d260a5162 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4f4b69a688190b140961eb298c36e completed April 19, 2026, 3:28 p.m.
Created at: April 10, 2026, 10:33 a.m.