Triple

T21629132
Position Surface form Disambiguated ID Type / Status
Subject Sir M MacDonald & Partners E533781 entity
Predicate predecessorOf P97 FINISHED
Object Mott MacDonald 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: Mott MacDonald | Statement: [Sir M MacDonald & Partners, predecessorOf, Mott MacDonald]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mott MacDonald
Context triple: [Sir M MacDonald & Partners, predecessorOf, 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. Ramboll
    Ramboll is a global engineering, design, and consultancy company known for delivering innovative and sustainable solutions in buildings, transport, environment, energy, and infrastructure projects.
  • E. 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.
  • 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_69e0c464fba881908d0ff2ac80511ce1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef5215ae3c81909e6dedba23822970 completed April 27, 2026, 12:09 p.m.
Created at: April 16, 2026, 6:34 p.m.