Triple
T13245247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oita Campus |
E315383
|
entity |
| Predicate | hasAcademicActivities |
P81547
|
FINISHED |
| Object | undergraduate education |
—
|
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: undergraduate education | Statement: [Oita Campus, hasAcademicActivities, undergraduate education]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAcademicActivities Context triple: [Oita Campus, hasAcademicActivities, undergraduate education]
-
A.
hasAcademicActivityType
Indicates that an academic activity is classified as belonging to a specific type or category of academic work.
-
B.
hasResearchActivities
Indicates that an entity engages in, conducts, or is associated with research-related activities.
-
C.
hasTeachingActivities
chosen
Indicates that an entity engages in or is associated with teaching-related actions, roles, or responsibilities.
-
D.
hasResearchActivityLevel
Indicates the degree or intensity of research-related activity associated with an entity.
-
E.
hasTeachingActivity
Indicates that an entity engages in or is associated with a specific teaching-related activity or instructional role.
- 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_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d5b06148190a44e698bbe5cd529 |
completed | April 10, 2026, 11:52 p.m. |
| PD | Predicate disambiguation | batch_69d98bcca7d88190a3e68e99ed3a29e6 |
completed | April 10, 2026, 11:46 p.m. |
Created at: April 9, 2026, 9:23 p.m.