Triple

T19282885
Position Surface form Disambiguated ID Type / Status
Subject Lancia Y10 E482233 entity
Predicate platformSharedWith P8246 FINISHED
Object Fiat Panda 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: Fiat Panda | Statement: [Lancia Y10, platformSharedWith, Fiat Panda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fiat Panda
Context triple: [Lancia Y10, platformSharedWith, Fiat Panda]
  • A. Fiat Panda chosen
    The Fiat Panda is a popular city car produced by Italian automaker Fiat, known for its compact size, practicality, and affordability.
  • B. Fiat Uno
    The Fiat Uno is a compact city car produced by the Italian manufacturer Fiat, known for its practicality, fuel efficiency, and popularity in European and Latin American markets since the 1980s.
  • C. Fiat 500
    The Fiat 500 is a compact city car from the Italian manufacturer Fiat, renowned for its iconic retro-inspired design and popularity in urban environments.
  • D. Fiat Cinquecento
    The Fiat Cinquecento is a small city car produced by the Italian manufacturer Fiat in the 1990s, known for its compact dimensions and practicality for urban driving.
  • E. Fiat Grande Punto
    The Fiat Grande Punto is a compact hatchback produced by the Italian manufacturer Fiat, known for its stylish design, practicality, and use as the basis for sportier Abarth-tuned versions.
  • 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_69d8e8cf61b0819096fe3e4107827c4e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fbffda78819088bf8dbc61756831 completed April 20, 2026, 10:12 a.m.
Created at: April 10, 2026, 1:30 p.m.