Triple

T16136920
Position Surface form Disambiguated ID Type / Status
Subject Mario Kart DS E391551 entity
Predicate includesCup P119071 FINISHED
Object Leaf Cup
Leaf Cup is a retro track cup in Mario Kart DS that features a selection of classic courses from earlier Mario Kart games.
E1195453 NE FINISHED

How this triple was built (4 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: Leaf Cup | Statement: [Mario Kart DS, includesCup, Leaf Cup]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leaf Cup
Context triple: [Mario Kart DS, includesCup, Leaf Cup]
  • A. Mainstay Cup
    The Mainstay Cup was a South African knockout football competition that featured top clubs such as Kaizer Chiefs F.C.
  • B. Banana Cup
    The Banana Cup is a recurring set of race courses featured as one of the themed cups in the Mario Kart video game series.
  • C. Mushroom Cup
    The Mushroom Cup is the introductory set of beginner-friendly racing tracks featured in various Mario Kart games.
  • D. Star Cup
    Star Cup is a recurring set of mid-to-late-game racing tracks featured in multiple Mario Kart titles.
  • E. Cupan
    Cupan is a subgroup of Southern Uto-Aztecan languages that includes several closely related Indigenous languages once spoken in Southern California.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Leaf Cup
Triple: [Mario Kart DS, includesCup, Leaf Cup]
Generated description
Leaf Cup is a retro track cup in Mario Kart DS that features a selection of classic courses from earlier Mario Kart games.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Leaf Cup
Target entity description: Leaf Cup is a retro track cup in Mario Kart DS that features a selection of classic courses from earlier Mario Kart games.
  • A. Mainstay Cup
    The Mainstay Cup was a South African knockout football competition that featured top clubs such as Kaizer Chiefs F.C.
  • B. Banana Cup
    The Banana Cup is a recurring set of race courses featured as one of the themed cups in the Mario Kart video game series.
  • C. Mushroom Cup
    The Mushroom Cup is the introductory set of beginner-friendly racing tracks featured in various Mario Kart games.
  • D. Star Cup
    Star Cup is a recurring set of mid-to-late-game racing tracks featured in multiple Mario Kart titles.
  • E. Cupan
    Cupan is a subgroup of Southern Uto-Aztecan languages that includes several closely related Indigenous languages once spoken in Southern California.
  • F. None of above. chosen

Provenance (5 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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21a05148c8190bc2b98217fda23cc completed April 17, 2026, 11:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff2b574148190b9d5b725d7d113af completed May 10, 2026, 2:51 a.m.
NEDg Description generation batch_69fff3478bfc8190bbcc0afbf6dbb089 completed May 10, 2026, 2:53 a.m.
NED2 Entity disambiguation (via description) batch_69fff3d29f50819093a9355d016f48dd completed May 10, 2026, 2:56 a.m.
Created at: April 10, 2026, 5:01 a.m.