Triple
T36541394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sixth Form Certificate |
E901031
|
entity |
| Predicate | gradingBasis |
P160758
|
FINISHED |
| Object | school-determined grades |
—
|
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: school-determined grades | Statement: [Sixth Form Certificate, gradingBasis, school-determined grades]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gradingBasis Context triple: [Sixth Form Certificate, gradingBasis, school-determined grades]
-
A.
grading
Indicates that one entity is evaluating, scoring, or assigning a quality level to another entity based on specific criteria.
-
B.
gradedBy
Indicates that one entity evaluates and assigns a grade or score to another entity.
-
C.
gradeType
Indicates the classification or category of a grade assigned in an evaluation or assessment context.
-
D.
gradingTypes
chosen
Indicates the types or categories of grading or evaluation methods associated with an entity.
-
E.
gradeWithin
Indicates that one value’s grade or level falls within a specified range or interval relative to another.
- 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_69f76e61217081908b79d610fe67b013 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b91fd88190ab85afd626603769 |
completed | May 3, 2026, 9:44 p.m. |
Created at: May 3, 2026, 4:11 p.m.