Triple
T31924169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nottuswaras |
E815054
|
entity |
| Predicate | targetLearnerLevel |
P75415
|
FINISHED |
| Object | beginner |
—
|
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: beginner | Statement: [Nottuswaras, targetLearnerLevel, beginner]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetLearnerLevel Context triple: [Nottuswaras, targetLearnerLevel, beginner]
-
A.
trainingLevel
Indicates the degree or stage of training or skill development that an entity has attained.
-
B.
targetDisciplineLevel
Indicates the level or degree of disciplinary action or control that is directed toward a particular target.
-
C.
targetCurriculumLevel
chosen
Indicates the curriculum level or educational stage that an activity, resource, or objective is intended to address.
-
D.
developmentLevel
Indicates the degree or stage of progress, advancement, or maturity that something has reached in its growth or evolution.
-
E.
eligibilityGradeLevel
Indicates the grade level or range of grade levels for which an entity is considered eligible or appropriate.
- 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_69f348f1df848190851bbfb988da3414 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fdb31800508190beec15adb9bbd292 |
completed | May 8, 2026, 9:55 a.m. |
| PD | Predicate disambiguation | batch_69fdb19c381c8190bafb2f565da097f1 |
completed | May 8, 2026, 9:49 a.m. |
Created at: May 1, 2026, 12:03 a.m.