Triple
T35386155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Invincibility Star |
E1022797
|
entity |
| Predicate | inMarioKartEffect |
P182913
|
FINISHED |
| Object | increases speed |
—
|
LITERAL 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: increases speed | Statement: [Invincibility Star, inMarioKartEffect, increases speed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inMarioKartEffect Context triple: [Invincibility Star, inMarioKartEffect, increases speed]
-
A.
kartingBackground
Indicates that an entity has experience, history, or involvement in kart racing as a foundational motorsport activity.
-
B.
maskEffect
Indicates that one entity serves to conceal, obscure, or alter the apparent effect or influence of another.
-
C.
racingModel
Indicates that one entity is a specific model or version designed or configured for racing in relation to another entity.
-
D.
hasMotorcycleStuntRiderProtagonist
Indicates that the primary protagonist of the work is a motorcycle stunt rider.
-
E.
featuresRaceBetween
Indicates that an event or context includes or showcases a competitive race occurring between participants.
- F. None of above. chosen
Provenance (4 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_69f76df28d8c819089f2c5799fe7d079 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f794f649648190a79d90e6e67fe2dc |
completed | May 3, 2026, 6:33 p.m. |
| PD | Predicate disambiguation | batch_69f7910770108190bdd39ddb5d304f54 |
completed | May 3, 2026, 6:16 p.m. |
| PDg | Predicate description generation | batch_69f791cad5e08190a8a04ca283dbecaa |
completed | May 3, 2026, 6:19 p.m. |
Created at: May 3, 2026, 4:03 p.m.