Triple

T6623300
Position Surface form Disambiguated ID Type / Status
Subject Fiat 124 Abarth Rally E149729 entity
Predicate developer P73 FINISHED
Object Abarth 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 | Statement: [Fiat 124 Abarth Rally, developer, Abarth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abarth
Context triple: [Fiat 124 Abarth Rally, developer, Abarth]
  • 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. Lancia Aprilia
    The Lancia Aprilia is an innovative late-1930s Italian family car renowned for its advanced aerodynamics, independent suspension, and pioneering unibody construction.
  • C. Lancia Appia
    The Lancia Appia is a compact Italian family car produced by Lancia from the early 1950s to the early 1960s, known for its refined engineering, narrow-angle V4 engine, and elegant coachbuilt variants.
  • D. Lancia
    Lancia is an Italian automobile manufacturer renowned for its historic innovations and success in motorsport, particularly rally racing.
  • 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_69c687ed8a9c81908bb671717cb192ef completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af7decb08190a7b1ddb95e534a6a completed March 27, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6eee8740881908b4fafb12db6b7f3 completed March 27, 2026, 8:56 p.m.
Created at: March 27, 2026, 1:58 p.m.