Triple

T12434970
Position Surface form Disambiguated ID Type / Status
Subject Patricia Urquiola E297120 entity
Predicate hasDesignedFor P9494 FINISHED
Object Kartell E321468 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: Kartell | Statement: [Patricia Urquiola, hasDesignedFor, Kartell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kartell
Context triple: [Patricia Urquiola, hasDesignedFor, Kartell]
  • A. Kartell chosen
    Kartell is an Italian design company renowned for its innovative, often colorful furniture and home accessories made primarily from plastic, created in collaboration with prominent designers.
  • B. Dalmine
    Dalmine is an industrial town in northern Italy known for its steel production and manufacturing activities.
  • C. 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.
  • D. Reverchon Industries
    Reverchon Industries is a French amusement ride manufacturer known for producing spinning roller coasters and other attractions for theme parks worldwide.
  • E. Molteni
    Molteni was a prominent Italian professional cycling team best known for being the dominant squad of legendary rider Eddy Merckx during the late 1960s and early 1970s.
  • 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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d804c2c819082f2f86edcbb50de completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f06d16481909ed2eb5195ebd7e4 completed May 2, 2026, 6:14 p.m.
Created at: April 8, 2026, 9:55 p.m.