Triple
T30620732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OCR |
E779436
|
entity |
| Predicate | hasAssessmentFormat |
P139305
|
FINISHED |
| Object | written examinations |
—
|
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: written examinations | Statement: [OCR, hasAssessmentFormat, written examinations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAssessmentFormat Context triple: [OCR, hasAssessmentFormat, written examinations]
-
A.
hasPracticeForm
chosen
Indicates that an entity is associated with, or takes place in, a particular form or mode of practice.
-
B.
typeOfAssessmentAlignment
Indicates that an assessment is aligned with, or corresponds to, a particular standard, objective, or framework.
-
C.
hasGrading
Indicates that one entity assigns or is associated with an evaluation, score, or grade for another entity.
-
D.
typeOfAssessmentInfluenced
Indicates that one entity has an effect on or shapes the kind of assessment applied to another entity.
-
E.
hasAwardedFormat
Indicates that one entity has granted or assigned a particular award format or type to another entity.
- 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_69f224a3307081909a6dca8ca75dbf48 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f727afd5d88190ad48735cd1b32787 |
completed | May 3, 2026, 10:47 a.m. |
| PD | Predicate disambiguation | batch_69f72737c42c8190a3f781a5e98868ff |
completed | May 3, 2026, 10:45 a.m. |
Created at: April 29, 2026, 8:27 p.m.