Triple

T11820143
Position Surface form Disambiguated ID Type / Status
Subject Smithfield E281103 entity
Predicate hasLandmark P105 FINISHED
Object Charterhouse Square E215595 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: Charterhouse Square | Statement: [Smithfield, hasLandmark, Charterhouse Square]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charterhouse Square
Context triple: [Smithfield, hasLandmark, Charterhouse Square]
  • A. Charterhouse Square chosen
    Charterhouse Square is a historic garden square in the Smithfield area of central London, known for its mix of academic, medical, and residential buildings.
  • B. Trinity Square
    Trinity Square is a historic public square in the City of London, known for its memorials and proximity to the Tower of London.
  • C. Manchester Square
    Manchester Square is a historic garden square in the Marylebone district of central London, known for its elegant Georgian architecture and cultural landmarks.
  • D. Manchester Square
    Manchester Square is a residential neighborhood in South Los Angeles known for its proximity to major thoroughfares and the Los Angeles International Airport.
  • 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_69d6ab26aae88190b2489efcb2a24234 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5e87e488190905bc3bb6d721e56 completed April 10, 2026, 7:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69f45825e9ac8190ad13d4b4e0208d20 completed May 1, 2026, 7:37 a.m.
Created at: April 8, 2026, 9:42 p.m.