Triple

T15067496
Position Surface form Disambiguated ID Type / Status
Subject One Hyde Park E379791 entity
Predicate structuralEngineer P616 FINISHED
Object Arup E27685 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: Arup | Statement: [One Hyde Park, structuralEngineer, Arup]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arup
Context triple: [One Hyde Park, structuralEngineer, Arup]
  • A. Arup Associates
    Arup Associates is a multidisciplinary architectural and engineering firm known for designing innovative, high-performance buildings and cultural venues.
  • B. Buro Happold
    Buro Happold is a global engineering consultancy known for its innovative structural and environmental design on major architectural and cultural projects worldwide.
  • C. Ove Arup & Partners chosen
    Ove Arup & Partners is a globally renowned engineering and design consultancy known for its pioneering structural work on landmark projects such as the Sydney Opera House.
  • D. Mott MacDonald
    Mott MacDonald is a global engineering, management, and development consultancy known for its work on major infrastructure projects worldwide.
  • E. WS Atkins
    WS Atkins is a British multinational engineering and design consultancy renowned for its work on major infrastructure and landmark architectural projects worldwide.
  • 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_69d85cd7683881908d405c1b5d7b4f7f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dedeebc7e48190a86b4f0afe8844bb completed April 15, 2026, 12:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69fea5cb04e88190a42bb0e516df61bc completed May 9, 2026, 3:11 a.m.
Created at: April 10, 2026, 3:02 a.m.