Triple
T27192562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Step II |
E683512
|
entity |
| Predicate | assessmentFormat |
P750
|
FINISHED |
| Object | self-report questionnaire |
—
|
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-report questionnaire | Statement: [Step II, assessmentFormat, self-report questionnaire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: assessmentFormat Context triple: [Step II, assessmentFormat, self-report questionnaire]
-
A.
assessmentName
Indicates the specific title or label assigned to an assessment within a system or context.
-
B.
assessment
Indicates an evaluation or judgment made about an entity’s quality, performance, or characteristics.
-
C.
assessmentMethod
chosen
Indicates the method or procedure used to evaluate, measure, or judge something.
-
D.
standardizedAssessment
Indicates that an entity is evaluated using a uniform, systematically designed assessment administered and scored in a consistent manner across all subjects or contexts.
-
E.
courseInspectionFormat
Indicates the specific method or medium by which a course is examined, reviewed, or inspected.
- 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_69eefad1fd5c8190a4a46ea6afe58bfa |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f625ac8e4c8190b44c30995739731f |
completed | May 2, 2026, 4:26 p.m. |
| PD | Predicate disambiguation | batch_69f620e38aec8190bb184edcdbd6da64 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 27, 2026, 9:33 a.m.