Triple

T16886734
Position Surface form Disambiguated ID Type / Status
Subject Teesside E421558 entity
Predicate hasPart P35 FINISHED
Object South Bank E728929 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: [Teesside, hasPart, South Bank]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: South Bank
Context triple: [Teesside, hasPart, South Bank]
  • A. South Bank
    South Bank is a vibrant riverside precinct in Brisbane, Australia, known for its cultural institutions, parklands, dining, and entertainment venues.
  • B. South Bank chosen
    South Bank is an industrial town and suburb in North Yorkshire, England, situated near Middlesbrough on the south bank of the River Tees.
  • 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
    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_69d889d470fc8190b4aec199636c0c56 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3bbc126e881909dae8133ad34acc9 completed April 18, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c2befaa88190ba83dc17aa66b541 completed May 10, 2026, 5:39 p.m.
Created at: April 10, 2026, 5:29 a.m.