Triple

T10356912
Position Surface form Disambiguated ID Type / Status
Subject Bedford Estate E244018 entity
Predicate hasNotableLocation P3858 FINISHED
Object Bedford Square E249147 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: Bedford Square | Statement: [Bedford Estate, hasNotableLocation, Bedford Square]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bedford Square
Context triple: [Bedford Estate, hasNotableLocation, Bedford Square]
  • A. Bedford Square chosen
    Bedford Square is a well-preserved Georgian garden square in central London, known for its historic architecture and literary and academic associations.
  • B. Bedford Square
    Bedford Square is a central public square in the town of Tavistock in Devon, England, known as a focal point for local civic and community activities.
  • C. Windsor Square
    Windsor Square is a historic, affluent residential neighborhood in central Los Angeles known for its large, early-20th-century homes and tree-lined streets.
  • D. Tudor Square
    Tudor Square is a public square in Sheffield, England, known as the city’s main theatre and cultural quarter.
  • E. Lechmere Square
    Lechmere Square is a major commercial and transit hub in Cambridge, Massachusetts, known for its shopping center and as a key stop on the MBTA Green Line.
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e954a0b8819083e4bd1fa47dc6f5 completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d79529208c81909b39e3ba937c541f completed April 9, 2026, 12:01 p.m.
Created at: April 6, 2026, 11:58 a.m.