Triple

T12973414
Position Surface form Disambiguated ID Type / Status
Subject Juicy Salif E321459 entity
Predicate designedFor P98 FINISHED
Object Alessi E321467 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: Alessi | Statement: [Juicy Salif, designedFor, Alessi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alessi
Context triple: [Juicy Salif, designedFor, Alessi]
  • A. Alessi chosen
    Alessi is an Italian design company renowned for its innovative, playful, and high-quality household products created in collaboration with prominent designers.
  • B. Comelico
    Comelico is a mountainous area in the northeastern Italian Alps, known for its scenic valleys, traditional Ladin culture, and winter sports tourism.
  • C. Tamburini
    Tamburini is an Italian-origin surname borne by various notable figures, including architects, musicians, and designers.
  • D. Cairoli
    Cairoli is an Italian surname most notably associated with Benedetto Cairoli, a 19th-century Italian statesman and patriot.
  • 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_69d80763bd6c819094437da5b20b01d2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e4322c08190abd43daadf16097f completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbc0b8188190a6a40bb4edf53e25 completed May 3, 2026, 4:14 a.m.
Created at: April 9, 2026, 8:36 p.m.