Triple

T5265515
Position Surface form Disambiguated ID Type / Status
Subject Warrington College of Business E118928 entity
Predicate abbreviation P43 FINISHED
Object Warrington E14818 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: Warrington | Statement: [Warrington College of Business, abbreviation, Warrington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Warrington
Context triple: [Warrington College of Business, abbreviation, Warrington]
  • A. Warrington chosen
    Warrington is a large town in Cheshire, England, situated between Liverpool and Manchester on the River Mersey and known historically for its role in industry and transport.
  • B. Widnes
    Widnes is an industrial town in Cheshire, England, historically known for its chemical industry and location on the River Mersey.
  • C. Northwich
    Northwich is a historic market and industrial town in Cheshire, England, traditionally known for its salt mining and chemical industries.
  • D. Ellesmere Port
    Ellesmere Port is an industrial town and port in Cheshire, England, known for its docks on the Manchester Ship Canal and proximity to Liverpool.
  • E. Nantwich
    Nantwich is a historic market town in northwest England known for its well-preserved Tudor and Georgian architecture and long association with the salt industry.
  • 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_69bd446a42c88190b7ecbef006561d55 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7bf89ae481908835b711fb2696fd completed March 20, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf10d1207481909ea18248993b4b71 completed March 21, 2026, 9:42 p.m.
Created at: March 20, 2026, 1:51 p.m.