Triple

T1689844
Position Surface form Disambiguated ID Type / Status
Subject River Lune E36525 entity
Predicate passesNear P416 FINISHED
Object Halton E46668 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: Halton | Statement: [River Lune, passesNear, Halton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Halton
Context triple: [River Lune, passesNear, 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 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.
  • C. Brampton
    Brampton is a large suburban city in the Greater Toronto Area known for its diverse population and rapidly growing economy.
  • D. Regional Municipality of Halton
    The Regional Municipality of Halton is an upper-tier municipal government in Ontario, Canada, encompassing rapidly growing suburban and semi-rural communities west of Toronto, including Burlington, Oakville, Milton, and Halton Hills.
  • E. Caledon
    Caledon is a largely rural town in southern Ontario, Canada, known for its scenic landscapes and inclusion within the Greater Toronto Area.
  • 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_69a886151508819084fa7f1ce6e05577 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa62979da48190a64a04bf352182e0 completed March 6, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad7992792081909af4312ae8a448a2 completed March 8, 2026, 1:28 p.m.
Created at: March 4, 2026, 7:29 p.m.