Triple

T4431476
Position Surface form Disambiguated ID Type / Status
Subject Southwark station E95339 entity
Predicate servesArea P82 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: [Southwark station, servesArea, South Bank]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: South Bank
Context triple: [Southwark station, servesArea, 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 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.
  • C. Chelsea Embankment
    Chelsea Embankment is a notable riverside thoroughfare and promenade along the north bank of the River Thames in west London, lined with historic buildings and gardens.
  • D. Admiralty Embankment
    Admiralty Embankment is a prominent riverside street and embankment along the Neva River in central Saint Petersburg, Russia, known for its historic architecture and proximity to major landmarks.
  • E. City Quays
    City Quays is a modern mixed-use waterfront development in Belfast featuring offices, hotels, and public spaces as part of the city’s wider dockside regeneration.
  • 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_69b3453c2a0c8190926b574c90766db9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3556b71448190a3fab938853f8b87 completed March 13, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6136f350c81908d00eff850951ab0 completed March 15, 2026, 2:03 a.m.
Created at: March 12, 2026, 11:31 p.m.