Triple
T7567682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osaka Aoyama University |
E178959
|
entity |
| Predicate | possibleAcademicLevel |
P19022
|
FINISHED |
| Object | graduate |
—
|
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: graduate | Statement: [Osaka Aoyama University, possibleAcademicLevel, graduate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: possibleAcademicLevel Context triple: [Osaka Aoyama University, possibleAcademicLevel, graduate]
-
A.
admissionsLevel
Indicates the degree or category of access, entry, or acceptance granted in an admissions context.
-
B.
taughtAtLevel
Indicates that an entity provided instruction or teaching at a specified level of education, difficulty, or proficiency.
-
C.
supportsLevelOfStudy
chosen
Indicates that one entity provides or is compatible with a specified level of academic or educational study for another entity.
-
D.
hasAcademicStandard
Indicates that an entity is associated with, aligned to, or governed by a specified academic or educational standard.
-
E.
assessmentLevel
Indicates the degree, rating, or intensity assigned to an evaluation or judgment of something.
- 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_69c69f2f80288190b95cceb4da92ab2b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f91c717881909c88901cc3b101c7 |
completed | March 27, 2026, 9:39 p.m. |
| PD | Predicate disambiguation | batch_69c6f4dc485c819080da13e3b7f4f08f |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:51 p.m.