Triple

T19345820
Position Surface form Disambiguated ID Type / Status
Subject Glenn Howells Architects E483873 entity
Predicate notableProject P4 FINISHED
Object Royal Wharf, London NE NERFINISHED

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 Wharf, London | Statement: [Glenn Howells Architects, notableProject, Royal Wharf, London]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Royal Wharf, London
Context triple: [Glenn Howells Architects, notableProject, Royal Wharf, London]
  • A. Royal Wharf chosen
    Royal Wharf is a modern riverside residential and commercial development in East London situated along the River Thames.
  • B. Baltic Wharf
    Baltic Wharf is a harbourside area in Bristol known for its marina, residential developments, and leisure facilities along the city’s historic docks.
  • C. Bristol Wharf
    Bristol Wharf is a historic riverfront area and public space along the Delaware River in Bristol, Pennsylvania, known for its scenic views, events, and role in the town’s maritime heritage.
  • D. Canal Wharf
    Canal Wharf is a historic canal-side area in Whaley Bridge, Derbyshire, known for its role in the town’s industrial and transport heritage.
  • E. Wapping Wharf
    Wapping Wharf is a harbourside district in Bristol known for its converted warehouses, independent shops, restaurants, and cultural spaces along the waterfront.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d244f8819080eb1f3491300db2 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e6185a56b4819089336564959b84df completed April 20, 2026, 12:13 p.m.
Created at: April 10, 2026, 1:34 p.m.