Triple

T18816838
Position Surface form Disambiguated ID Type / Status
Subject Maranello E460157 entity
Predicate knownFor P22 FINISHED
Object Ferrari automobile factory 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: Ferrari automobile factory | Statement: [Maranello, knownFor, Ferrari automobile factory]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ferrari automobile factory
Context triple: [Maranello, knownFor, Ferrari automobile factory]
  • A. Ferrari chosen
    Ferrari is an Italian luxury sports car manufacturer renowned for its high-performance vehicles, racing heritage, and iconic prancing horse emblem.
  • B. Ferrari
    "Ferrari" is a popular Afropop song by Nigerian singer Yemi Alade, known for its catchy melody and lyrics about love and material commitment.
  • C. Alfa Romeo
    Alfa Romeo is an Italian automobile manufacturer renowned for its sporty, stylish cars and long heritage in motorsport and performance engineering.
  • D. 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.
  • E. Carrozzeria Ghia
    Carrozzeria Ghia is an Italian automotive design and coachbuilding firm renowned for its stylish mid-20th-century car designs for various major manufacturers.
  • 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_69d8dcf94c288190a06dea029ae4b223 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5a6b620248190afa21a6ce61e2cff completed April 20, 2026, 4:08 a.m.
Created at: April 10, 2026, 11:55 a.m.