Triple

T4064372
Position Surface form Disambiguated ID Type / Status
Subject Bankside Power Station E86289 entity
Predicate locatedIn P40 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: [Bankside Power Station, locatedIn, Bankside]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bankside
Context triple: [Bankside Power Station, locatedIn, 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. 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.
  • D. Ancoats
    Ancoats is a historic inner-city district of Manchester, England, known for its former textile mills and canals and its transformation into a trendy residential and cultural area.
  • E. South Dock
    South Dock is a major dock and waterway in London’s Docklands, forming part of the redeveloped Canary Wharf financial district.
  • 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_69aed93c69208190a4efac0efe3cd69b completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefbf44c888190b5746d93e9f8e3a3 completed March 9, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69b562ae949c819092affaaca97c16d1 completed March 14, 2026, 1:29 p.m.
Created at: March 9, 2026, 3:38 p.m.