Triple

T881260
Position Surface form Disambiguated ID Type / Status
Subject Abarth E19030 entity
Predicate notableModel P1503 FINISHED
Object Abarth Punto E19030 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: Abarth Punto | Statement: [Abarth, notableModel, Abarth Punto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abarth Punto
Context triple: [Abarth, notableModel, Abarth Punto]
  • A. Abarth chosen
    Abarth is an Italian performance car and racing brand known for tuning and producing sporty versions of Fiat and other compact vehicles.
  • B. Alfa Romeo MiTo
    The Alfa Romeo MiTo is a compact three-door supermini car produced by the Italian manufacturer Alfa Romeo, known for its sporty styling and agile handling.
  • C. 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.
  • D. Lancia Thema
    The Lancia Thema is an executive car produced by Italian manufacturer Lancia in the 1980s and early 1990s, known for its luxury features and high-performance variants.
  • E. Alfa Romeo Tonale
    The Alfa Romeo Tonale is a compact luxury crossover SUV that marks the brand’s entry into the premium plug-in hybrid and electrified SUV segment.
  • 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_69a4939c32488190a7ccd41cf0abb22b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4accb653c81909fe0753f78145be9 completed March 1, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac99669a1481909fa42162ffee2d7b completed March 7, 2026, 9:32 p.m.
Created at: March 1, 2026, 7:39 p.m.