Triple

T18816800
Position Surface form Disambiguated ID Type / Status
Subject Fiat Mobi E460156 entity
Predicate hasVariant P455 FINISHED
Object Fiat Mobi Like 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 Mobi Like | Statement: [Fiat Mobi, hasVariant, Fiat Mobi Like]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fiat Mobi Like
Context triple: [Fiat Mobi, hasVariant, Fiat Mobi Like]
  • A. Fiat Mobi chosen
    The Fiat Mobi is a compact city car produced by Fiat primarily for the Brazilian and Latin American markets, designed as an affordable, efficient urban vehicle.
  • B. Fiat Qubo
    The Fiat Qubo is a compact multi-purpose vehicle (MPV) designed for urban practicality and versatile family or commercial use.
  • C. Fiat Ritmo
    The Fiat Ritmo is a compact family hatchback produced by Italian automaker Fiat from the late 1970s through the 1980s, known for its distinctive angular styling and role as a popular European small car.
  • D. Fiat Talento
    The Fiat Talento is a mid-size light commercial van produced by Fiat Professional, closely related to the Renault Trafic and aimed at business and cargo transport markets.
  • E. Fiat Sedici
    The Fiat Sedici is a compact crossover SUV co-developed with Suzuki, designed to blend urban practicality with light off-road capability.
  • 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.