Triple
T6657004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seikei University |
E150970
|
entity |
| Predicate | hasEducationalLevels |
P177
|
FINISHED |
| Object | undergraduate programs |
—
|
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 programs | Statement: [Seikei University, hasEducationalLevels, undergraduate programs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEducationalLevels Context triple: [Seikei University, hasEducationalLevels, undergraduate programs]
-
A.
educationalStages
Indicates the ordered levels or phases within an education system that a learner progresses through.
-
B.
educationType
chosen
Indicates the specific category or level of education associated with an entity, such as formal, informal, primary, secondary, or higher education.
-
C.
educationStatus
Indicates the current or achieved level, stage, or condition of an entity’s formal education.
-
D.
governsLevelOfEducation
Indicates that one entity has authority or control over determining the level or standard of education provided to another entity.
-
E.
educationLevelCharacteristic
Indicates that one entity specifies, describes, or constrains the education level associated with another entity.
- 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_69c687f2c9508190a60b9aad31d3f358 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6cc9d53848190ac75523c157249c6 |
completed | March 27, 2026, 6:29 p.m. |
| PD | Predicate disambiguation | batch_69c6ad071b0081909b96dd4b93414bd1 |
completed | March 27, 2026, 4:15 p.m. |
Created at: March 27, 2026, 2:01 p.m.