Triple
T38162177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CEGEP |
E953046
|
entity |
| Predicate | programDurationPreUniversity |
P49391
|
FINISHED |
| Object | 2 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: 2 years | Statement: [CEGEP, programDurationPreUniversity, 2 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: programDurationPreUniversity Context triple: [CEGEP, programDurationPreUniversity, 2 years]
-
A.
primaryDurationOfStudy
chosen
Indicates the main length of time allocated or required for a particular course of study or educational program.
-
B.
collegePreparation
Indicates the extent to which one entity equips or readies another for success in college-level academic and social demands.
-
C.
hasCollegePreparatoryCurriculum
Indicates that an educational institution offers a curriculum specifically designed to prepare students for college-level study.
-
D.
hasPreparatoryDepartment
Indicates that one entity (typically an educational institution) includes or is associated with a preparatory department that provides preliminary or foundational instruction.
-
E.
primaryUniversityType
Indicates the main or predominant classification of a university (e.g., by level, focus, or type) within a given context.
- 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_69f76f0b93c48190a117319ab3a9f282 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcda3699948190adb57625bae08091 |
completed | May 7, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fd16d08190b0aca6e19a632e99 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:21 p.m.