Triple
T26959664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cégep Édouard-Montpetit |
E679002
|
entity |
| Predicate | hasNotableCurriculum |
P64158
|
FINISHED |
| Object | aerospace |
—
|
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: aerospace | Statement: [Cégep Édouard-Montpetit, hasNotableCurriculum, aerospace]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableCurriculum Context triple: [Cégep Édouard-Montpetit, hasNotableCurriculum, aerospace]
-
A.
hasCurriculumBasis
Indicates that one entity’s curriculum is founded on, derived from, or guided by another entity as its basis.
-
B.
hasTypicalCourse
Indicates that there is a characteristic or commonly observed progression, sequence, or development pattern associated with the subject.
-
C.
notableCourse
chosen
Indicates that a course is particularly significant, distinguished, or noteworthy in relation to an entity (such as a person or institution).
-
D.
hasCurriculumGoal
Indicates that an educational curriculum includes or is associated with a specific intended learning goal or objective.
-
E.
hasOpenCurriculum
Indicates that an educational program or institution allows students significant flexibility to choose courses and design their own course of study rather than following a fixed, prescribed curriculum.
- 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_69eeeb4e75f08190b14fc91ca4a91488 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69fe031bc6208190860099aef72d8dcb |
completed | May 8, 2026, 3:36 p.m. |
| PD | Predicate disambiguation | batch_69fe014c8b388190b5d4e0cb95ee2be5 |
completed | May 8, 2026, 3:29 p.m. |
Created at: April 27, 2026, 6:30 a.m.