Triple

T1709435
Position Surface form Disambiguated ID Type / Status
Subject Mercedes-Benz Stadium E36943 entity
Predicate architect P184 FINISHED
Object HOK E27535 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: HOK | Statement: [Mercedes-Benz Stadium, architect, HOK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HOK
Context triple: [Mercedes-Benz Stadium, architect, HOK]
  • A. HOK Group chosen
    HOK Group is a global design, architecture, engineering, and planning firm known for large-scale commercial, civic, and sports projects.
  • B. HKS
    HKS is the Harvard Kennedy School, a leading public policy and public administration graduate school at Harvard University.
  • C. HKS, Inc.
    HKS, Inc. is a global architecture firm known for designing major sports, entertainment, and commercial venues.
  • D. Skidmore, Owings & Merrill
    Skidmore, Owings & Merrill is a prominent American architecture and engineering firm renowned for designing major modernist and high-rise buildings worldwide.
  • E. Magnusson Klemencic Associates
    Magnusson Klemencic Associates is a prominent structural and civil engineering firm known for its innovative design of complex buildings and performance venues 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_69a88617439c819094ffb5d16a0f6307 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa631329088190a2ce8f755bd69fc7 completed March 6, 2026, 5:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8adb1b588190b93f9d28d27cab72 completed March 8, 2026, 2:42 p.m.
Created at: March 4, 2026, 7:30 p.m.