Triple

T12050255
Position Surface form Disambiguated ID Type / Status
Subject Queen Elizabeth Hall E286896 entity
Predicate location P40 FINISHED
Object South Bank E59701 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: South Bank | Statement: [Queen Elizabeth Hall, location, South Bank]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: South Bank
Context triple: [Queen Elizabeth Hall, location, South Bank]
  • A. South Bank
    South Bank is an industrial town and suburb in North Yorkshire, England, situated near Middlesbrough on the south bank of the River Tees.
  • B. South Bank
    South Bank is a vibrant riverside precinct in Brisbane, Australia, known for its cultural institutions, parklands, dining, and entertainment venues.
  • C. Southbank
    Southbank is an inner-city Melbourne suburb known for its high-rise apartments, arts precinct, and riverside dining and entertainment along the Yarra River.
  • D. South Bank of the River Thames chosen
    The South Bank of the River Thames is a prominent cultural and entertainment district in central London, known for its arts venues, riverside attractions, and iconic city views.
  • E. Surrey Quays
    Surrey Quays is a residential and commercial area in Rotherhithe, southeast London, known for its docklands regeneration, shopping centre, and proximity to the River Thames.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d904227958819084dbd5eb2566c735 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f64d12b48190a041d6782c6a13e0 completed May 2, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:47 p.m.