Triple

T23479415
Position Surface form Disambiguated ID Type / Status
Subject Cape Town Stadium E570360 entity
Predicate architect P184 FINISHED
Object GMP Architekten 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: GMP Architekten | Statement: [Cape Town Stadium, architect, GMP Architekten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GMP Architekten
Context triple: [Cape Town Stadium, architect, GMP Architekten]
  • A. gmp Architekten chosen
    gmp Architekten is a German architecture firm renowned for designing large-scale public and sports facilities worldwide.
  • B. Ala Architects
    Ala Architects is a Finnish architecture firm known for its contemporary, context-sensitive public and cultural buildings, including major performing arts venues.
  • C. Patkau Architects
    Patkau Architects is a renowned Canadian architectural firm celebrated for its innovative, context-sensitive designs and significant contributions to contemporary architecture.
  • D. Bora Architects
    Bora Architects is a Portland-based architecture firm known for designing innovative cultural, educational, and civic spaces such as the Mesa Arts Center.
  • E. MNK Architects
    MNK Architects is an architectural firm recognized for its role in designing major projects such as Southwest University Park.
  • 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_69e245af8a88819084f2704f6d265a92 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a74f48d8819080e875aaea8b46b3 completed April 29, 2026, 6:38 a.m.
Created at: April 17, 2026, 6:02 p.m.