Triple
T36852530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adi |
E910709
|
entity |
| Predicate | supportsLearningStyle |
P205081
|
FINISHED |
| Object | self-paced learning |
—
|
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: self-paced learning | Statement: [Adi, supportsLearningStyle, self-paced learning]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsLearningStyle Context triple: [Adi, supportsLearningStyle, self-paced learning]
-
A.
supportsLearningMechanism
Indicates that one entity facilitates, enables, or enhances the learning mechanism or process of another entity.
-
B.
supportsLearningProjects
Indicates that one entity provides resources, assistance, or conditions that enable or enhance another entity’s learning-related projects or educational initiatives.
-
C.
livingLearningModel
Indicates a relationship where an entity uses or embodies a model that integrates living (residential or real-life) environments with structured learning experiences.
-
D.
supportsLearningCommunities
Indicates that one entity provides resources, structures, or conditions that enable or enhance the functioning and development of learning communities for another entity.
-
E.
usesLearningMechanism
Indicates that one entity employs or applies a particular learning mechanism or method in its functioning or behavior.
- 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_69f76e8033d48190a59274f86f13be48 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a0e039481908a4a2666f76c5363 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82f8c88190bd77a086023ac0e1 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:13 p.m.