Triple

T7506633
Position Surface form Disambiguated ID Type / Status
Subject Tower Hill station E177405 entity
Predicate hasEntranceOn P1974 FINISHED
Object Trinity Square E105379 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: Trinity Square | Statement: [Tower Hill station, hasEntranceOn, Trinity Square]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trinity Square
Context triple: [Tower Hill station, hasEntranceOn, Trinity Square]
  • A. Trinity Square chosen
    Trinity Square is a historic public square in the City of London, known for its memorials and proximity to the Tower of London.
  • B. Charterhouse Square
    Charterhouse Square is a historic garden square in the Smithfield area of central London, known for its mix of academic, medical, and residential buildings.
  • C. Cabot Square
    Cabot Square is a historic urban public square and green space in downtown Montreal, known as a gathering place and transit hub near the Atwater area.
  • D. Cabot Square
    Cabot Square is a prominent landscaped plaza and fountain-centered public space within London’s Canary Wharf financial district.
  • E. Holy Trinity Square
    Holy Trinity Square is a historic public square in Budapest’s Castle District, known for its Baroque Holy Trinity Column and proximity to landmarks like Matthias Church and Buda Castle.
  • 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_69c69f276b108190af2cc790b6554544 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5b76a288190bb3608a5e3bfa212 completed March 27, 2026, 9:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8460be99881909cada82cf7563421 completed March 28, 2026, 9:20 p.m.
Created at: March 27, 2026, 3:45 p.m.