Triple
T22412276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Current Science |
E554020
|
entity |
| Predicate | targetDisciplineLevel |
P148057
|
FINISHED |
| Object | professional |
—
|
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: professional | Statement: [Current Science, targetDisciplineLevel, professional]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetDisciplineLevel Context triple: [Current Science, targetDisciplineLevel, professional]
-
A.
disciplineLevel
Indicates the degree or strictness of control, order, or self-regulation applied in a given context or relationship.
-
B.
targetCurriculumLevel
Indicates the curriculum level or educational stage that an activity, resource, or objective is intended to address.
-
C.
qualificationLevel
Indicates the degree or rank of competence, certification, or formal credentials required for or possessed in relation to something.
-
D.
trainingLevel
Indicates the degree or stage of training or skill development that an entity has attained.
-
E.
targetPerformanceLevel
Indicates the specific performance standard or level that an entity is expected or required to achieve.
- 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_69e11e4e6ce8819085a1e06d886bf21c |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15943dd84819099e77563da470594 |
completed | April 29, 2026, 1:05 a.m. |
| PD | Predicate disambiguation | batch_69e8989495bc81909d2699fce5992e28 |
completed | April 22, 2026, 9:44 a.m. |
| PDg | Predicate description generation | batch_69e8aa39e3388190b659d59948ebf3e6 |
completed | April 22, 2026, 11 a.m. |
Created at: April 16, 2026, 8:46 p.m.