Triple
T1957085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GCSE |
E42293
|
entity |
| Predicate | typicalDurationOfCourse |
P29682
|
FINISHED |
| Object | two academic years |
—
|
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: two academic years | Statement: [GCSE, typicalDurationOfCourse, two academic years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalDurationOfCourse Context triple: [GCSE, typicalDurationOfCourse, two academic years]
-
A.
courseLength
chosen
Indicates the duration or total length of a course, typically measured in units such as hours, weeks, or credits.
-
B.
typicalDurationDays
Indicates the usual or expected number of days that an associated event, process, or state typically lasts.
-
C.
typicalCourse
Indicates that one entity is a standard or commonly taken course associated with another entity, such as a program, curriculum, or field of study.
-
D.
courseType
Indicates the classification or category of a course based on its nature, level, or instructional format.
-
E.
typicalEndDate
Indicates the date on which something, such as an event, process, or period, normally or customarily ends.
- 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_69a8870eea088190a38781990812a9bc |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb68a8e608190bc37a85913b3cd44 |
completed | March 7, 2026, 5:24 a.m. |
| PD | Predicate disambiguation | batch_69abaff5dbd48190a9d36ca60de151db |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:36 p.m.