Triple

T5063073
Position Surface form Disambiguated ID Type / Status
Subject Columbia Sportswear E114071 entity
Predicate hasSubsidiaryBrand P25079 FINISHED
Object prAna E46094 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: prAna | Statement: [Columbia Sportswear, hasSubsidiaryBrand, prAna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: prAna
Context triple: [Columbia Sportswear, hasSubsidiaryBrand, prAna]
  • A. prAna chosen
    prAna is an activewear and lifestyle clothing brand known for its yoga, climbing, and sustainably made casual apparel.
  • B. PAR
    PAR is the IATA city code representing the collective airport system serving Paris, France, including major airports such as Charles de Gaulle and Orly.
  • C. Aparan
    Aparan is a small town in Armenia’s Aragatsotn Province, known for its proximity to Mount Aragats and its historic churches and monuments.
  • D. APRIN
    APRIN is a Japanese organization focused on promoting research integrity and ethical conduct in academic and scientific communities.
  • E. PRA
    PRA is the commonly used abbreviation for the Postal Reorganization Act of 1970, the U.S. federal law that transformed the Post Office Department into the United States Postal Service.
  • 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_69bd443c0c8c81908663b77afb28e165 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7475be3c819085cde8ec544c407e completed March 20, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69bea497fed0819098746fd8917f041c completed March 21, 2026, 2 p.m.
Created at: March 20, 2026, 1:38 p.m.