Triple

T16181140
Position Surface form Disambiguated ID Type / Status
Subject KTM E392684 entity
Predicate hasModel P2390 FINISHED
Object KTM 200 Duke 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 200 Duke | Statement: [KTM, hasModel, KTM 200 Duke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KTM 200 Duke
Context triple: [KTM, hasModel, KTM 200 Duke]
  • 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. Ducati Hypermotard
    The Ducati Hypermotard is a high-performance Italian supermoto-style motorcycle known for its aggressive styling, upright riding position, and agile handling.
  • D. Ducati Streetfighter
    The Ducati Streetfighter is a high-performance naked sport motorcycle known for its aggressive styling, powerful V-twin engine, and track-derived handling.
  • E. Yamaha MT-09
    The Yamaha MT-09 is a popular middleweight naked sport motorcycle known for its torquey three-cylinder engine, agile handling, and aggressive styling.
  • 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_69d87f1e49ac8190a311b54d32990576 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2205c92b48190b7125dbbcff3662e completed April 17, 2026, 11:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a000787d3fc8190a32d53a177fedb6d completed May 10, 2026, 4:20 a.m.
Created at: April 10, 2026, 5:02 a.m.