Triple

T4930888
Position Surface form Disambiguated ID Type / Status
Subject Temple area, London E110690 entity
Predicate hasStreet P959 FINISHED
Object Middle Temple Lane E464088 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: Middle Temple Lane | Statement: [Temple area, London, hasStreet, Middle Temple Lane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Middle Temple Lane
Context triple: [Temple area, London, hasStreet, Middle Temple Lane]
  • A. Middle Temple Lane chosen
    Middle Temple Lane is a historic street in central London running through the Middle Temple legal district, connecting Fleet Street to the River Thames.
  • B. Chancery Lane
    Chancery Lane is a historic street in central London traditionally associated with the legal profession and home to many legal institutions and chambers.
  • C. Vicarage Road
    Vicarage Road is a football stadium in Watford, England, best known as the long-time home ground of Watford F.C.
  • D. Caxton Street
    Caxton Street is a street in Westminster, central London, known for housing the historic Caxton Hall building.
  • E. Kennington Lane
    Kennington Lane is a main thoroughfare in the Kennington district of London, connecting Vauxhall and the Oval and lined with a mix of residential, commercial, and historic buildings.
  • 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_69bd4415190c8190817bee7ec9f9f944 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd706245e48190a61d573438461c30 completed March 20, 2026, 4:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69be77b18b6c8190bbc8d0764f6a03bf completed March 21, 2026, 10:49 a.m.
Created at: March 20, 2026, 1:30 p.m.