Triple

T27687844
Position Surface form Disambiguated ID Type / Status
Subject Austin Allegro E698078 entity
Predicate controversialReputation P115124 FINISHED
Object often cited as one of the worst British cars LITERAL 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: often cited as one of the worst British cars | Statement: [Austin Allegro, controversialReputation, often cited as one of the worst British cars]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: controversialReputation
Context triple: [Austin Allegro, controversialReputation, often cited as one of the worst British cars]
  • A. controversialBecause
    Indicates that one entity is considered controversial specifically due to, or as a result of, its relationship with or association to another entity.
  • B. controversialStatus chosen
    Indicates that the subject is associated with debate, dispute, or disagreement regarding its acceptance, validity, or appropriateness.
  • C. roleInControversy
    Indicates the specific part, involvement, or function an entity has within a particular controversy or disputed situation.
  • D. hasControversialAspect
    Indicates that something includes an element, feature, or aspect that is disputed, debated, or likely to cause disagreement or public criticism.
  • E. controversyType
    Indicates the specific kind or category of controversy associated with an entity or situation.
  • F. None of above.

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_69ef590df8708190af5488f0638e790c completed April 27, 2026, 12:39 p.m.
NER Named-entity recognition batch_69f7221dc9a88190bb8194fcc29c42bc completed May 3, 2026, 10:23 a.m.
PD Predicate disambiguation batch_69f72153a9188190b02adc84e1be4af8 completed May 3, 2026, 10:20 a.m.
Created at: April 27, 2026, 2:50 p.m.