Triple
T16242483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koopa Shell |
E394284
|
entity |
| Predicate | notableVariantEffect |
P23809
|
FINISHED |
| Object | Targets leading racer (in Mario Kart) |
—
|
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: Targets leading racer (in Mario Kart) | Statement: [Koopa Shell, notableVariantEffect, Targets leading racer (in Mario Kart)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableVariantEffect Context triple: [Koopa Shell, notableVariantEffect, Targets leading racer (in Mario Kart)]
-
A.
notableVariation
Indicates that one entity represents a significant or noteworthy deviation or difference from another entity within a given context.
-
B.
notableEffect
chosen
Indicates that one entity has a significant impact, consequence, or influence on another entity or situation.
-
C.
affectsVariant
Indicates that one entity has an influence or impact on a specific variant or version of another entity.
-
D.
genomicAlteration
Indicates a relationship where an entity has undergone a change or mutation in its genetic material compared to a reference genome.
-
E.
alternativeSplicingFeature
Indicates that a genomic region or element participates in an alternative splicing event, distinguishing it as a feature involved in generating splice variants.
- F. None of above.
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_69d87f2171208190951025e526947816 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2455eeb4c81909066a8af78329ef3 |
completed | April 17, 2026, 2:36 p.m. |
| PD | Predicate disambiguation | batch_69e219ee6f6481909663b388dc99770a |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:04 a.m.