Triple

T2317840
Position Surface form Disambiguated ID Type / Status
Subject Central London E51106 entity
Predicate contains P35 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: [Central London, contains, Bankside]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bankside
Context triple: [Central London, contains, 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_69a88b074b908190ae983dbca7757d88 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc62fa60c8190b4859ce296ea4177 completed March 7, 2026, 6:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae8964902081909070dd03ccb7cf1f completed March 9, 2026, 8:48 a.m.
Created at: March 4, 2026, 7:49 p.m.