Triple
T12372099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AP exams |
E295027
|
entity |
| Predicate | passingScoreRange |
P50513
|
FINISHED |
| Object | 3 to 5 |
—
|
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: 3 to 5 | Statement: [AP exams, passingScoreRange, 3 to 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: passingScoreRange Context triple: [AP exams, passingScoreRange, 3 to 5]
-
A.
gradeRange
chosen
Indicates the span of grades or scores that an item, performance, or entity falls within.
-
B.
mathScoreRange
Indicates the range of possible or observed math scores associated with an entity.
-
C.
requiresMinimumScore
Indicates that one entity can only be obtained, accessed, or considered valid if another entity’s score meets or exceeds a specified minimum threshold.
-
D.
isGradeWithin
Indicates that a given grade value falls within a specified acceptable or defined grade range.
-
E.
readingAndWritingSectionScoreRange
Indicates the range of possible or achieved scores associated with the reading and writing section of an assessment.
- 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_69d6ab6d8a4081908636601e69ddf262 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d942a2d6e08190a13c7ff89af09354 |
completed | April 10, 2026, 6:34 p.m. |
| PD | Predicate disambiguation | batch_69d93ecf6b548190a394b6b56a0c1c68 |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:54 p.m.