Triple
T15777779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wazwan |
E382532
|
entity |
| Predicate | courseOrder |
P11849
|
FINISHED |
| Object | fixed sequence |
—
|
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: fixed sequence | Statement: [Wazwan, courseOrder, fixed sequence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: courseOrder Context triple: [Wazwan, courseOrder, fixed sequence]
-
A.
courseLoad
Indicates the quantity or intensity of academic work (such as number of courses or credits) assigned to or undertaken by an individual or program.
-
B.
coursePar
Indicates that two entities (such as paths, lines, or trajectories) run alongside each other in the same general direction without intersecting.
-
C.
courseStructure
chosen
Indicates how a course is organized into its constituent parts, such as modules, units, lessons, and their sequencing or hierarchy.
-
D.
courseClass
Indicates that a particular course is classified as belonging to a specific academic class or category.
-
E.
courseCup
Indicates that a particular cup is used for or associated with serving a specific course in a meal.
- 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_69d86da09a10819082fe9797b23e4664 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e05199cd8881909462462cec34d35a |
completed | April 16, 2026, 3:03 a.m. |
| PD | Predicate disambiguation | batch_69e00537bd1c81908d6e832792fd934f |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:47 a.m.