Triple

T16883952
Position Surface form Disambiguated ID Type / Status
Subject Herman Van Springel E421489 entity
Predicate rodeForTeam P91574 FINISHED
Object Molteni E85728 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: Molteni | Statement: [Herman Van Springel, rodeForTeam, Molteni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Molteni
Context triple: [Herman Van Springel, rodeForTeam, Molteni]
  • A. Molteni chosen
    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.
  • B. Molteni
    Molteni is a brand of Italian salami products known for producing traditional cured meats.
  • 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. Maderna
    Maderna is an Italian surname most notably associated with Bruno Maderna, a prominent 20th-century composer and conductor linked to the postwar avant-garde.
  • E. Tamburini
    Tamburini is an Italian-origin surname borne by various notable figures, including architects, musicians, and designers.
  • 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_69d889d470fc8190b4aec199636c0c56 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3bbbf0cec819084216807601afad1 completed April 18, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c2baece88190ad9821219dff7e27 completed May 10, 2026, 5:39 p.m.
Created at: April 10, 2026, 5:29 a.m.