Triple

T9711334
Position Surface form Disambiguated ID Type / Status
Subject Paimio Chair E235028 entity
Predicate manufacturer P490 FINISHED
Object Artek E235035 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: Artek | Statement: [Paimio Chair, manufacturer, Artek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Artek
Context triple: [Paimio Chair, manufacturer, Artek]
  • A. Artek chosen
    Artek is a Finnish design company renowned for its modernist furniture and interiors that blend functionalism with organic forms.
  • B. Iittala
    Iittala is a Finnish design brand renowned for its high-quality glassware and timeless Scandinavian tableware and home objects.
  • C. Vitra
    Vitra is a Swiss furniture company renowned for its innovative, design-led office and home furnishings created in collaboration with prominent designers.
  • D. Cassina
    Cassina is an Italian furniture company renowned for its high-end, design-led modern and contemporary furnishings and collaborations with iconic architects and designers.
  • E. Knoll
    Knoll is an American design firm renowned for its modernist furniture and collaborations with iconic designers such as Eero Saarinen and Ludwig Mies van der Rohe.
  • 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_69ca84cd8fa0819090a5e243ceb37003 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e0591208190aa57cc9e2aebafb7 completed April 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19f8876748190b0b5efb12031f532 completed April 4, 2026, 11:32 p.m.
Created at: March 30, 2026, 8:19 p.m.