Triple

T4594456
Position Surface form Disambiguated ID Type / Status
Subject Fiat factory racing team E103573 entity
Predicate collaboratedWith P435 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 factory racing team, collaboratedWith, Abarth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abarth
Context triple: [Fiat factory racing team, collaboratedWith, 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
    Lancia is an Italian automobile manufacturer renowned for its historic innovations and success in motorsport, particularly rally racing.
  • C. 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.
  • D. Biqueli
    Biqueli is a small coastal settlement on Atauro Island in East Timor, known for its fishing community and proximity to coral reefs.
  • E. 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.
  • 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_69bd43dccaf08190aa89e9991a289719 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd593e115081909b11149e02fe4ef3 completed March 20, 2026, 2:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69be102049d481908743d66f76905c69 completed March 21, 2026, 3:27 a.m.
Created at: March 20, 2026, 1:11 p.m.