Triple

T4173966
Position Surface form Disambiguated ID Type / Status
Subject Allegiant Stadium E86430 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: [Allegiant Stadium, structuralEngineer, Arup]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arup
Context triple: [Allegiant Stadium, 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_69aed93de98c8190ad838ce507b77c8a completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af02e7d30081909774a3e2a2132d6a completed March 9, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57f5428a0819082aaea8950a7c039 completed March 14, 2026, 3:31 p.m.
Created at: March 9, 2026, 3:45 p.m.