Triple

T3894004
Position Surface form Disambiguated ID Type / Status
Subject Bunhill Fields E88126 entity
Predicate locatedNear P294 FINISHED
Object Old Street E332314 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: Old Street | Statement: [Bunhill Fields, locatedNear, Old Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Old Street
Context triple: [Bunhill Fields, locatedNear, Old Street]
  • A. Old Street chosen
    Old Street is a major road and surrounding area in central London, known as a key hub for technology companies and startups within the city's "Silicon Roundabout" district.
  • B. Merton Street
    Merton Street is a historic street in central Oxford, England, known for its traditional architecture and proximity to several University of Oxford colleges.
  • C. Oldham Street
    Oldham Street is a prominent thoroughfare in Manchester’s Northern Quarter, known for its independent shops, bars, and vibrant alternative culture.
  • D. Keele Street
    Keele Street is a significant north–south arterial road in the Greater Toronto Area, running through York and several other communities in Ontario, Canada.
  • E. 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.
  • 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_69aed9466d548190939f5217a23ed4ac completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeecd06cbc8190938d9f91388ad290 completed March 9, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdacc411808190a80e0d6355c1cc60 completed March 20, 2026, 8:23 p.m.
Created at: March 9, 2026, 3:21 p.m.