Triple

T16266512
Position Surface form Disambiguated ID Type / Status
Subject Casey Stoner E394888 entity
Predicate team P3756 FINISHED
Object KTM (250cc) E392684 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: KTM (250cc)  | Statement: [Casey Stoner, team, KTM (250cc) ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KTM (250cc) 
Context triple: [Casey Stoner, team, KTM (250cc) ]
  • 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 390 Duke
    The KTM 390 Duke is a lightweight, single-cylinder naked sport motorcycle known for its sharp handling, aggressive styling, and strong performance in the entry-level segment.
  • D. KTM 690 Duke
    The KTM 690 Duke is a high-performance single-cylinder naked motorcycle known for its lightweight chassis, sharp handling, and aggressive street-oriented design.
  • E. Kawasaki Ninja 125
    The Kawasaki Ninja 125 is a lightweight entry-level sport motorcycle designed for beginner riders, featuring sporty styling and performance inspired by Kawasaki’s larger Ninja models.
  • 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e245c839788190b974d1d0d2525b88 completed April 17, 2026, 2:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001f8eac988190bdcba6778fbffd64 completed May 10, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:05 a.m.