Triple

T2004828
Position Surface form Disambiguated ID Type / Status
Subject Information Commissioner’s Office E43556 entity
Predicate hasOfficeLocation P1268 FINISHED
Object Wilmslow E16562 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: Wilmslow | Statement: [Information Commissioner’s Office, hasOfficeLocation, Wilmslow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wilmslow
Context triple: [Information Commissioner’s Office, hasOfficeLocation, Wilmslow]
  • A. Wilmslow chosen
    Wilmslow is an affluent town in Cheshire, England, known for its prosperous residential areas and location within the Greater Manchester commuter belt.
  • B. Northwich
    Northwich is a historic market and industrial town in Cheshire, England, traditionally known for its salt mining and chemical industries.
  • C. Chorleywood
    Chorleywood is a commuter village in South East England, known for its green spaces and location on the Metropolitan line within the London commuter belt.
  • D. Altrincham
    Altrincham is a market town in Greater Manchester, England, known for its historic center, commuter links to Manchester, and revitalized food and retail scene.
  • E. Macclesfield
    Macclesfield is a historic market town in North West England known for its former silk industry and location on the edge of the Peak District.
  • 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_69a88715dbbc8190b2299e29e955d997 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb89717c88190ba506134c671d386 completed March 7, 2026, 5:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0adcd2708190b126e3872679d88c completed March 8, 2026, 11:48 p.m.
Created at: March 4, 2026, 7:37 p.m.