Triple

T4549451
Position Surface form Disambiguated ID Type / Status
Subject Alfa Romeo Giulia E110125 entity
Predicate competitor P1375 FINISHED
Object Audi A4 E196133 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: Audi A4 | Statement: [Alfa Romeo Giulia, competitor, Audi A4]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Audi A4
Context triple: [Alfa Romeo Giulia, competitor, Audi A4]
  • A. Audi A4 chosen
    The Audi A4 is a compact executive car produced by the German automaker Audi, known for its refined interior, advanced technology, and available quattro all-wheel drive.
  • B. Audi A3
    The Audi A3 is a compact premium car known for its refined interior, advanced technology, and sporty yet efficient performance within Audi’s lineup.
  • C. Audi A6
    The Audi A6 is a mid-size luxury executive car known for its refined design, advanced technology, and balanced performance within Audi’s lineup.
  • D. Audi Q series
    The Audi Q series is a lineup of luxury SUV and crossover models produced by Audi, known for combining premium interiors, advanced technology, and all-wheel-drive performance.
  • E. Audi Q5
    The Audi Q5 is a compact luxury crossover SUV known for its refined interior, advanced technology, and balanced performance.
  • 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_69bd4412524c8190be5bcc9ddee91848 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd57f3f8348190868e274ac4df87ce completed March 20, 2026, 2:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdb94cab408190956ef333aa810a3b completed March 20, 2026, 9:17 p.m.
Created at: March 20, 2026, 1:05 p.m.