Triple

T21987800
Position Surface form Disambiguated ID Type / Status
Subject Mario Andretti E543008 entity
Predicate teamDrivenFor P19122 FINISHED
Object Alfa Romeo NE NERFINISHED

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: Alfa Romeo | Statement: [Mario Andretti, teamDrivenFor, Alfa Romeo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alfa Romeo
Context triple: [Mario Andretti, teamDrivenFor, Alfa Romeo]
  • A. Alfa Romeo chosen
    Alfa Romeo is an Italian automobile manufacturer renowned for its sporty, stylish cars and long heritage in motorsport and performance engineering.
  • B. Lancia
    Lancia is an Italian automobile manufacturer renowned for its historic innovations and success in motorsport, particularly rally racing.
  • C. Maserati
    Maserati is an Italian luxury automobile manufacturer renowned for its high-performance sports cars and grand tourers distinguished by elegant design and racing heritage.
  • D. Autodelta
    Autodelta was Alfa Romeo’s official racing and high-performance development division, renowned for engineering the company’s competition cars and advanced sports prototypes.
  • E. Automobili Pininfarina
    Automobili Pininfarina is an Italian luxury electric car manufacturer known for producing ultra-high-performance, limited-production vehicles such as the Battista hypercar.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c48136b081908831fa907cc02e18 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1270ad0d48190bd822289ce18195c completed April 28, 2026, 9:30 p.m.
Created at: April 16, 2026, 8:04 p.m.