Triple

T8082404
Position Surface form Disambiguated ID Type / Status
Subject Maughan Library E188648 entity
Predicate locatedIn P40 FINISHED
Object Chancery Lane E306904 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: Chancery Lane | Statement: [Maughan Library, locatedIn, Chancery Lane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chancery Lane
Context triple: [Maughan Library, locatedIn, Chancery Lane]
  • A. Chancery Lane chosen
    Chancery Lane is a historic street in central London traditionally associated with the legal profession and home to many legal institutions and chambers.
  • B. Farringdon Road
    Farringdon Road is a major thoroughfare in central London running through the Clerkenwell area, known for its historic role in the city’s transport and commercial development.
  • C. Abingdon Street
    Abingdon Street is a road in Westminster, London, running near the Houses of Parliament and forming part of the area around Parliament Square.
  • D. Blackfriars Road
    Blackfriars Road is a major thoroughfare in central London running south from Blackfriars Bridge through the boroughs of Southwark and Lambeth.
  • E. Gray's Inn Road
    Gray's Inn Road is a major thoroughfare in central London running through the Holborn area, known for its legal institutions, offices, and proximity to Gray's Inn.
  • 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_69ca82b662e88190b9323daab8c28a21 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb415cb4688190920868317e77bbff completed March 31, 2026, 3:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd947cf7a881908b45cf262887da86 completed April 1, 2026, 9:56 p.m.
Created at: March 30, 2026, 5:28 p.m.