Triple

T17828508
Position Surface form Disambiguated ID Type / Status
Subject Anthony Salvin E445186 entity
Predicate placeOfDeath P21 FINISHED
Object Hanover Square NE NERFINISHED

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: Hanover Square | Statement: [Anthony Salvin, placeOfDeath, Hanover Square]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hanover Square
Context triple: [Anthony Salvin, placeOfDeath, Hanover Square]
  • A. Hanover Square
    Hanover Square is a historic public park and gathering space located in the coastal city of Brunswick, Georgia.
  • B. Hanover Square chosen
    Hanover Square is a historic garden square in London’s Mayfair district, known for its Georgian architecture and proximity to major shopping and commercial areas.
  • C. 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.
  • D. 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.
  • E. Thurloe Square
    Thurloe Square is a garden square in South Kensington, London, known for its 19th-century terraced houses and proximity to major museums such as the Victoria and Albert Museum.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f1a6d881909f024bc603111cdb completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48915d0fc819080ab03feb2465834 completed April 19, 2026, 7:49 a.m.
Created at: April 10, 2026, 10:15 a.m.