Triple

T7722354
Position Surface form Disambiguated ID Type / Status
Subject Edmund Happold E175042 entity
Predicate hasEmployer P7 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: [Edmund Happold, hasEmployer, Arup]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arup
Context triple: [Edmund Happold, hasEmployer, 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_69c6995d541c81909eaa646b1a8369a9 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c702f1786881908b025d8986e5f1fa completed March 27, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8d6b1f7648190a0e2fd82ecb9c8b9 completed March 29, 2026, 7:37 a.m.
Created at: March 27, 2026, 4:05 p.m.