Triple

T17872836
Position Surface form Disambiguated ID Type / Status
Subject Jasmax E446875 entity
Predicate knownAs P39 FINISHED
Object Jasmax Architects 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: Jasmax Architects | Statement: [Jasmax, knownAs, Jasmax Architects]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jasmax Architects
Context triple: [Jasmax, knownAs, Jasmax Architects]
  • A. Jasmax Architects chosen
    Jasmax Architects is a prominent New Zealand architecture firm known for major public and cultural projects, including the design of the national museum Te Papa Tongarewa in Wellington.
  • B. JDS Architects
    JDS Architects is an international architecture and design firm known for innovative, sculptural projects such as the redevelopment of Oslo’s Holmenkollen ski arena.
  • C. BLT Architects
    BLT Architects is an architectural firm known for designing large-scale commercial and civic projects, including major convention centers in the United States.
  • D. MNK Architects
    MNK Architects is an architectural firm recognized for its role in designing major projects such as Southwest University Park.
  • E. Ennead Architects
    Ennead Architects is a prominent New York–based architectural firm known for designing major cultural, educational, and scientific institutions.
  • 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_69d8b9f4c22c819093c2680434472894 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49aa3cd248190a13a8209ba44fd3b completed April 19, 2026, 9:04 a.m.
Created at: April 10, 2026, 10:18 a.m.