Triple
T15688498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sugar Shell |
E380263
|
entity |
| Predicate | userInterfaceLayerOf |
P1594
|
FINISHED |
| Object | Sugar learning platform |
—
|
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: Sugar learning platform | Statement: [Sugar Shell, userInterfaceLayerOf, Sugar learning platform]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: userInterfaceLayerOf Context triple: [Sugar Shell, userInterfaceLayerOf, Sugar learning platform]
-
A.
userInterface
chosen
Indicates a relationship where one entity serves as the interface or interaction layer through which a user engages with another system, service, or resource.
-
B.
userInterfaceSimilarTo
Indicates that one user interface resembles or closely matches another in appearance, layout, or interaction style.
-
C.
previousUserInterface
Indicates that one user interface precedes another in time or version within a sequence of interfaces.
-
D.
platformInterface
Indicates that one entity serves as an interface or interaction layer through which another entity accesses or communicates with a broader platform or system.
-
E.
languageOfInterface
Indicates the language used by or presented in a user interface.
- 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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f4cee5481908699fbb2b7bdd2f6 |
completed | April 16, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69deda8c856c8190882330114f9a1a5f |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:44 a.m.