Triple

T22144468
Position Surface form Disambiguated ID Type / Status
Subject Dani Pedrosa E547249 entity
Predicate testRiderFor P122439 FINISHED
Object KTM NE NERFINISHED

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: KTM | Statement: [Dani Pedrosa, testRiderFor, KTM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KTM
Context triple: [Dani Pedrosa, testRiderFor, KTM]
  • A. KTM chosen
    KTM is an Austrian motorcycle manufacturer renowned for its high-performance racing and off-road bikes, including its factory team participation in MotoGP.
  • B. KTM
    KTM is the IATA airport code for Tribhuvan International Airport, the main international gateway to Kathmandu, Nepal.
  • C. KTM RC 390
    The KTM RC 390 is a lightweight, single-cylinder sport motorcycle known for its sharp handling, aggressive styling, and strong performance in the entry-level supersport segment.
  • D. KTM 790 Adventure
    The KTM 790 Adventure is a mid-weight adventure motorcycle designed for both on-road touring and off-road performance, known for its agile handling and long-range capability.
  • E. KTM RC 8C
    The KTM RC 8C is a limited-production, track-focused supersport motorcycle developed by KTM in collaboration with Krämer Motorcycles, designed specifically for high-performance circuit riding rather than street use.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e3a95d88190a3bd80d9471976c3 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129efd52c8190ab0acff5bbfc0d77 completed April 28, 2026, 9:43 p.m.
Created at: April 16, 2026, 8:33 p.m.