Triple

T6643555
Position Surface form Disambiguated ID Type / Status
Subject Wembley Arch E150643 entity
Predicate engineer P184 FINISHED
Object Mott MacDonald E147163 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: Mott MacDonald | Statement: [Wembley Arch, engineer, Mott MacDonald]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mott MacDonald
Context triple: [Wembley Arch, engineer, Mott MacDonald]
  • A. Mott MacDonald chosen
    Mott MacDonald is a global engineering, management, and development consultancy known for its work on major infrastructure projects worldwide.
  • B. Halcrow Group
    Halcrow Group was a British engineering consultancy firm known for its work on major infrastructure and transportation projects worldwide.
  • C. Arup Associates
    Arup Associates is a multidisciplinary architectural and engineering firm known for designing innovative, high-performance buildings and cultural venues.
  • D. Aurecon
    Aurecon is a global engineering, design, and advisory company known for delivering complex infrastructure and building projects across sectors such as transport, energy, and urban development.
  • 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_69c687f1a3048190828b7342f7125d5c completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6aff749d48190bf24d448daf13bc7 completed March 27, 2026, 4:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6eef22e58819097bd6533c157d454 completed March 27, 2026, 8:56 p.m.
Created at: March 27, 2026, 2 p.m.