Triple
T14253481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Go Jetters |
E353326
|
entity |
| Predicate | hasEducationalDevice |
P40345
|
FINISHED |
| Object | funky facts |
—
|
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: funky facts | Statement: [Go Jetters, hasEducationalDevice, funky facts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEducationalDevice Context triple: [Go Jetters, hasEducationalDevice, funky facts]
-
A.
hasEducationalFeature
chosen
Indicates that something includes or is associated with a component, characteristic, or functionality intended for educational purposes.
-
B.
hasEducationalUse
Indicates that something is intended to be used for educational or instructional purposes.
-
C.
usesDevice
Indicates that one entity operates, employs, or relies on a particular device to perform an action or achieve a purpose.
-
D.
hasIllustrativeDevice
Indicates that one entity includes, uses, or is associated with an illustrative device (such as a diagram, figure, or visual aid) to support or clarify its content.
-
E.
hasEducationalBrand
Indicates that one entity possesses, is associated with, or operates under a particular educational brand or branding identity.
- 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_69d8278c43e08190824146f4632b89a5 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6297f38c819090d7c7fd8bfa2e9e |
completed | April 14, 2026, 3:51 p.m. |
| PD | Predicate disambiguation | batch_69de05c09b7881908acbca18bd7d997c |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 1:09 a.m.