Triple

T22611981
Position Surface form Disambiguated ID Type / Status
Subject A557 road E566729 entity
Predicate regionServed P82 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: [A557 road, regionServed, Halton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Halton
Context triple: [A557 road, regionServed, Halton]
  • A. Halton chosen
    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
    Halton is a regional municipality in Ontario, Canada, encompassing several communities including the rapidly growing Town of Milton.
  • D. Halton
    Halton is a masculine given name most notably borne by American astronomer Halton Arp, known for his work on peculiar galaxies.
  • E. 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.
  • 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_69e245884860819081046ce07d5872c4 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f167eb08c88190bf2380fa8575d2da completed April 29, 2026, 2:07 a.m.
Created at: April 17, 2026, 2:57 p.m.