Triple

T4378173
Position Surface form Disambiguated ID Type / Status
Subject Fiat Panda E99058 entity
Predicate relatedModel P37 FINISHED
Object Fiat 500 E136270 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: Fiat 500 | Statement: [Fiat Panda, relatedModel, Fiat 500]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fiat 500
Context triple: [Fiat Panda, relatedModel, Fiat 500]
  • A. Fiat 500 chosen
    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.
  • 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. Fiat 600
    The Fiat 600 is a compact, rear-engined city car introduced in the mid-1950s that became one of Italy’s most iconic and influential postwar economy vehicles.
  • E. Fiat 126
    The Fiat 126 is a small, rear-engined city car produced by the Italian manufacturer Fiat from the early 1970s, widely known as an affordable people's car in several European countries, especially Poland.
  • 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_69b5f5e210108190bf14731ce3774b6b completed March 14, 2026, 11:57 p.m.
Created at: March 12, 2026, 11:18 p.m.