Triple
T16277165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CU Scarborough |
E395160
|
entity |
| Predicate | hasTeachingMode |
P122484
|
FINISHED |
| Object | full-time study |
—
|
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: full-time study | Statement: [CU Scarborough, hasTeachingMode, full-time study]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTeachingMode Context triple: [CU Scarborough, hasTeachingMode, full-time study]
-
A.
hasTeaching
Indicates that one entity provides instruction or educational guidance to another entity.
-
B.
hasTeachingContext
Indicates that an entity is associated with a specific educational or instructional setting in which teaching occurs.
-
C.
hasTeachingStatus
Indicates that an entity holds a particular teaching-related role, capacity, or status in relation to another entity or context.
-
D.
hasTeachingRole
Indicates that one entity holds a position or responsibility involving teaching or instruction in relation to another entity.
-
E.
hasTeachingMission
Indicates that an entity has a role, responsibility, or formal mandate to provide teaching or educational instruction to others.
- 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_69d87f22c7248190a54c949738441e2e |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2460ea5a4819099f779288a754c8d |
completed | April 17, 2026, 2:39 p.m. |
| PD | Predicate disambiguation | batch_69e219f68d308190b71c1601303f0628 |
completed | April 17, 2026, 11:31 a.m. |
| PDg | Predicate description generation | batch_69e21e56e0348190a3d9475360231a70 |
completed | April 17, 2026, 11:49 a.m. |
Created at: April 10, 2026, 5:05 a.m.