Triple

T6963333
Position Surface form Disambiguated ID Type / Status
Subject London Blackfriars E161425 entity
Predicate servesArea P82 FINISHED
Object Bankside E92748 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: Bankside | Statement: [London Blackfriars, servesArea, Bankside]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bankside
Context triple: [London Blackfriars, servesArea, Bankside]
  • A. Bankside chosen
    Bankside is a riverside district in central London on the south bank of the Thames, known for its cultural attractions, historic sites, and vibrant arts scene.
  • B. Gateshead
    Gateshead is a large town in northeast England, situated on the southern bank of the River Tyne opposite Newcastle upon Tyne, known for its modern architecture and cultural 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. Western Docklands
    Western Docklands is a waterfront urban area in Amsterdam known for its redeveloped harbor basins, modern residential architecture, and proximity to the IJ Bay.
  • E. South Bank
    South Bank is a vibrant riverside precinct in Brisbane, Australia, known for its cultural institutions, parklands, dining, and entertainment venues.
  • 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_69c68853cff881908439d488924a8283 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6daf197b0819085bd0433c8a7f716 completed March 27, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c758a0e5bc819098206940fc3ac623 completed March 28, 2026, 4:27 a.m.
Created at: March 27, 2026, 2:30 p.m.