Triple
T4436057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International Baccalaureate Diploma Programme |
E95651
|
entity |
| Predicate | gradingScaleMaximum |
P52185
|
FINISHED |
| Object | 45 points |
—
|
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: 45 points | Statement: [International Baccalaureate Diploma Programme, gradingScaleMaximum, 45 points]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gradingScaleMaximum Context triple: [International Baccalaureate Diploma Programme, gradingScaleMaximum, 45 points]
-
A.
hasMaximumGrade
chosen
Indicates that an entity possesses the highest possible grade or score within a defined grading or evaluation system.
-
B.
maximumGradient
Indicates the greatest rate of change or steepest slope that occurs within a given function, surface, or dataset.
-
C.
gradeNumber
Indicates the numerical grade or level assigned to an entity within an ordered grading or classification system.
-
D.
maximumNumber
Indicates that one entity specifies the highest allowable or observed quantity, value, or count associated with another entity.
-
E.
scoreScale
Indicates the scale or range on which a score or rating is expressed or measured.
- 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_69b3453ea2b48190a26f154b3b8fece5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35589f8608190b0820d36beaacf44 |
completed | March 13, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69b34f6078cc8190831b89f404198cc5 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:31 p.m.