Triple

T4378174
Position Surface form Disambiguated ID Type / Status
Subject Fiat Panda E99058 entity
Predicate relatedModel P37 FINISHED
Object Lancia Ypsilon E111396 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: Lancia Ypsilon | Statement: [Fiat Panda, relatedModel, Lancia Ypsilon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lancia Ypsilon
Context triple: [Fiat Panda, relatedModel, Lancia Ypsilon]
  • A. Lancia Ypsilon chosen
    The Lancia Ypsilon is a small Italian city car known for its stylish design, upscale interior, and long-running popularity in the European supermini segment.
  • 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 Panda
    The Fiat Panda is a popular city car produced by Italian automaker Fiat, known for its compact size, practicality, and affordability.
  • D. Peugeot 107
    The Peugeot 107 is a compact city car produced by the French manufacturer Peugeot, known for its small size, fuel efficiency, and urban-friendly design.
  • E. Peugeot 106
    The Peugeot 106 is a small city car produced by the French manufacturer Peugeot in the 1990s and early 2000s, known for its compact size, affordability, and popularity in European markets.
  • 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_69b3454ea8f48190a49c2436624d6ef6 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35240092c81908e26ff607d665e7a completed March 12, 2026, 11:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e51907688190ad964d341eb84529 completed March 14, 2026, 10:45 p.m.
Created at: March 12, 2026, 11:18 p.m.