Triple

T847585
Position Surface form Disambiguated ID Type / Status
Subject Maserati E18310 entity
Predicate foundedBy P104 FINISHED
Object Carlo Maserati E102494 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: Carlo Maserati | Statement: [Maserati, foundedBy, Carlo Maserati]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carlo Maserati
Context triple: [Maserati, foundedBy, Carlo Maserati]
  • A. Vincenzo Lancia
    Vincenzo Lancia was an Italian engineer, racing driver, and automobile pioneer who founded the innovative car manufacturer Lancia in the early 20th century.
  • B. Alfieri Maserati chosen
    Alfieri Maserati was an Italian automotive engineer and entrepreneur best known as one of the founding brothers of the Maserati sports car marque.
  • C. Giovanni Agnelli
    Giovanni Agnelli was an Italian industrialist best known as the founder and long-time leader of the Fiat automobile company, playing a central role in the development of Italy’s modern automotive industry.
  • D. Alfredo Guzzoni
    Alfredo Guzzoni was an Italian army general who commanded Axis forces in Sicily during World War II.
  • E. Carlo Rossi
    Carlo Rossi was a prominent 19th-century Italian-born Russian architect best known for shaping the neoclassical cityscape of Saint Petersburg.
  • 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_69a4938b04208190b82e1df6b572c548 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac0ba6b4819089c15ed7e1765502 completed March 1, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7b8472f188190b470893c76b20ccf completed March 4, 2026, 4:42 a.m.
Created at: March 1, 2026, 7:38 p.m.