Triple

T4173965
Position Surface form Disambiguated ID Type / Status
Subject Allegiant Stadium E86430 entity
Predicate architect P184 FINISHED
Object HNTB E287125 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: HNTB | Statement: [Allegiant Stadium, architect, HNTB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HNTB
Context triple: [Allegiant Stadium, architect, HNTB]
  • A. HNTB chosen
    HNTB is a prominent American architecture, engineering, and planning firm known for designing major sports venues and transportation infrastructure projects.
  • B. Parsons Brinckerhoff
    Parsons Brinckerhoff is a global engineering and professional services firm known for its major infrastructure and transportation projects.
  • C. AECOM
    AECOM is a global infrastructure consulting firm that provides architecture, engineering, construction management, and related professional services for large-scale public and private projects.
  • D. Jacobs Engineering Group
    Jacobs Engineering Group is a global professional services firm specializing in engineering, design, and construction management across infrastructure, aerospace, environmental, and industrial sectors.
  • E. RTKL Associates Inc.
    RTKL Associates Inc. is a global architecture and design firm known for large-scale civic, commercial, and mixed-use projects.
  • 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.