Triple

T492162
Position Surface form Disambiguated ID Type / Status
Subject LC2 armchair E10211 entity
Predicate producedBy P490 FINISHED
Object Cassina E61370 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: Cassina | Statement: [LC2 armchair, producedBy, Cassina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cassina
Context triple: [LC2 armchair, producedBy, Cassina]
  • A. Cassina chosen
    Cassina is an Italian furniture company renowned for its high-end, design-led modern and contemporary furnishings and collaborations with iconic architects and designers.
  • B. ROMA Design Group
    ROMA Design Group is an architecture and urban design firm known for creating the Martin Luther King Jr. Memorial in Washington, D.C.
  • C. Mecanoo
    Mecanoo is a Dutch architecture firm renowned for its innovative, context-sensitive designs for cultural, educational, and public buildings worldwide.
  • D. Leonardo S.p.A.
    Leonardo S.p.A. is a major Italian aerospace, defense, and security company that designs and manufactures military aircraft, helicopters, electronics, and related systems.
  • E. Blomberg
    Blomberg is a small town in the Lippe district of North Rhine-Westphalia, Germany, known as the birthplace of former German chancellor Gerhard Schröder.
  • 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_69a2e847df8481909239ec08ccf1e376 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f0f959b481908f9f28fb96695924 completed Feb. 28, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69a47d2c33bc81909d0743ca3ef96c00 completed March 1, 2026, 5:53 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.