Triple

T3210296
Position Surface form Disambiguated ID Type / Status
Subject Tavistock E67261 entity
Predicate hasLandmark P105 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: [Tavistock, hasLandmark, Bedford Square]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bedford Square
Context triple: [Tavistock, hasLandmark, 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. 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.
  • E. Gordon Square
    Gordon Square is a historic garden square in the Bloomsbury district of central London, known for its Georgian architecture and associations with the Bloomsbury Group.
  • 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_69ad858ac36c81909962589cd277d6e2 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaab886c48190b72e36d0ac855ffe completed March 8, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2771204e0819086ae2838a368589a completed March 12, 2026, 8:19 a.m.
Created at: March 8, 2026, 3:07 p.m.