Triple
T33581934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MPH |
E860170
|
entity |
| Predicate | featuresPower |
P203697
|
FINISHED |
| Object | superSpeed |
—
|
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: superSpeed | Statement: [MPH, featuresPower, superSpeed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresPower Context triple: [MPH, featuresPower, superSpeed]
-
A.
featuresPowerUp
Indicates that one entity includes, provides, or incorporates a power-up as part of its content or functionality.
-
B.
featuresDemon
Indicates that an entity includes, depicts, or prominently involves a demon.
-
C.
featuresSuit
Indicates that one entity includes or presents a particular suit (e.g., clothing, armor, or outfit) as a notable component or attribute.
-
D.
featuresIn
Indicates that an entity appears or plays a role within another entity, such as a person or element being included in a work, event, or context.
-
E.
featuresStarPower
Indicates that something prominently includes or showcases a highly famous or celebrated person or talent.
- 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_69f3497d37848190afcbb5ef3f5c7376 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a01ca0db6f08190bed479584114e63d |
completed | May 11, 2026, 12:22 p.m. |
| PD | Predicate disambiguation | batch_6a01c96ff4a08190a4fbf0cebbda95b4 |
completed | May 11, 2026, 12:20 p.m. |
| PDg | Predicate description generation | batch_6a01ca0bf57881908d0dcfb2a25556b3 |
completed | May 11, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:40 a.m.