Triple
T35345548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CSI 3* |
E1020728
|
entity |
| Predicate | courseHeightRange |
P183046
|
FINISHED |
| Object | approximately 1.40m to 1.50m |
—
|
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: approximately 1.40m to 1.50m | Statement: [CSI 3*, courseHeightRange, approximately 1.40m to 1.50m]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: courseHeightRange Context triple: [CSI 3*, courseHeightRange, approximately 1.40m to 1.50m]
-
A.
courseLength
Indicates the duration or total length of a course, typically measured in units such as hours, weeks, or credits.
-
B.
gradeRange
Indicates the span of grades or scores that an item, performance, or entity falls within.
-
C.
approximateCourseLength
Indicates an estimated or rough value for the length or duration of a course rather than an exact measurement.
-
D.
hasDegreeRange
Indicates that an entity is associated with a minimum and maximum degree value defining a range.
-
E.
hasCourseLength
Indicates that an entity (such as a course) is associated with a specific duration or length.
- F. None of above. chosen
Provenance (4 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_69f76decd95c8190ae428f6a19d535de |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f795b5228c8190adb5bf86e581f70c |
completed | May 3, 2026, 6:36 p.m. |
| PD | Predicate disambiguation | batch_69f79104f5b48190a496cdffde8472da |
completed | May 3, 2026, 6:16 p.m. |
| PDg | Predicate description generation | batch_69f79527c7bc8190a69d87bec01f65c8 |
completed | May 3, 2026, 6:34 p.m. |
Created at: May 3, 2026, 4:03 p.m.