Triple

T777390
Position Surface form Disambiguated ID Type / Status
Subject London City Airport E16417 entity
Predicate isLocatedNear P350 FINISHED
Object Royal Docks E20245 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: Royal Docks | Statement: [London City Airport, isLocatedNear, Royal Docks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Royal Docks
Context triple: [London City Airport, isLocatedNear, Royal Docks]
  • A. Battersea
    Battersea is a district in the London Borough of Wandsworth, known for its riverside location along the Thames, Battersea Power Station, and Battersea Park.
  • B. Kensington
    Kensington is a district in West London, England, known for its affluent residential areas, cultural institutions, and royal associations.
  • C. Colindale
    Colindale is a suburban area in the London Borough of Barnet, known for its residential developments, transport links, and proximity to former aviation and military sites.
  • D. Eastern Docklands
    Eastern Docklands is a redeveloped waterfront district in Amsterdam known for its modern architecture, residential complexes, and cultural venues built on former harbor and industrial land.
  • E. Canary Wharf chosen
    Canary Wharf is a major business and financial district in East London known for its cluster of modern skyscrapers and corporate headquarters.
  • 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_69a4936ad1fc81908f190208059ccf78 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a74da7648190adfad56717d564df completed March 1, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7a3adf1d88190acec593f0aca1ec0 completed March 4, 2026, 3:14 a.m.
Created at: March 1, 2026, 7:37 p.m.