Triple

T8166408
Position Surface form Disambiguated ID Type / Status
Subject Savoy Estate E190702 entity
Predicate hasPart P35 FINISHED
Object Savoy Place E715669 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: Savoy Place | Statement: [Savoy Estate, hasPart, Savoy Place]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Savoy Place
Context triple: [Savoy Estate, hasPart, Savoy Place]
  • A. Savoy Place chosen
    Savoy Place is a notable building and conference venue on the Victoria Embankment in central London, best known today as the headquarters of the Institution of Engineering and Technology (IET).
  • B. Stratford Place
    Stratford Place is a short, historic cul-de-sac in central London known for its Georgian architecture and proximity to Oxford Street’s major shopping area.
  • C. Gloucester Place
    Gloucester Place is a major street in the Marylebone district of central London, known for its Georgian architecture and mixed residential and commercial character.
  • D. Wellington Place
    Wellington Place is a central street in Belfast, Northern Ireland, known for its mix of commercial buildings, offices, and proximity to key civic landmarks.
  • E. Cromwell Place
    Cromwell Place is a street in South Kensington, London, known for its proximity to major museums and cultural institutions and its access to South Kensington Underground station.
  • 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_69ca82c0ef14819083713f4473dd847c completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb46680fac81908df134df9bf84915 completed March 31, 2026, 3:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69cced4e6efc8190a74aea4ab213298b completed April 1, 2026, 10:02 a.m.
Created at: March 30, 2026, 5:39 p.m.