Triple
T20217799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mario Kart 7 |
E495172
|
entity |
| Predicate | includesCup |
P119071
|
FINISHED |
| Object | Leaf Cup |
—
|
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: Leaf Cup | Statement: [Mario Kart 7, includesCup, Leaf Cup]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leaf Cup Context triple: [Mario Kart 7, includesCup, Leaf Cup]
-
A.
Leaf Cup
chosen
Leaf Cup is a retro track cup in Mario Kart DS that features a selection of classic courses from earlier Mario Kart games.
-
B.
Mainstay Cup
The Mainstay Cup was a South African knockout football competition that featured top clubs such as Kaizer Chiefs F.C.
-
C.
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.
-
D.
Mushroom Cup
The Mushroom Cup is the introductory set of beginner-friendly racing tracks featured in various Mario Kart games.
-
E.
Star Cup
Star Cup is a recurring set of mid-to-late-game racing tracks featured in multiple Mario Kart titles.
- 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_69da626cff80819097b530718a7c98b6 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66edaeeb08190bb74bd4a10aceca2 |
completed | April 20, 2026, 6:22 p.m. |
Created at: April 11, 2026, 11:39 p.m.