Triple
T33733557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maizuru National College of Technology |
E864342
|
entity |
| Predicate | studentIntakeLevel |
P25096
|
FINISHED |
| Object | junior high school graduates |
—
|
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: junior high school graduates | Statement: [Maizuru National College of Technology, studentIntakeLevel, junior high school graduates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: studentIntakeLevel Context triple: [Maizuru National College of Technology, studentIntakeLevel, junior high school graduates]
-
A.
admissionsLevel
chosen
Indicates the degree or category of access, entry, or acceptance granted in an admissions context.
-
B.
undergraduateIntakeType
Indicates the specific category or mode by which undergraduate students are admitted or enrolled into an academic program or institution.
-
C.
enrollmentLevel
Indicates the degree or status of participation an entity has in a particular enrollment context (such as a program, course, or service).
-
D.
studentPopulationLevel
Indicates the relative size or magnitude of the student population associated with an entity.
-
E.
eligibleGradeLevels
Indicates the grade levels for which something (such as a program, course, or benefit) is considered eligible or applicable.
- 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_69f3498a64cc8190b4b414c67b280d93 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6ffbad8848190867c2988c0ceb84f |
completed | May 3, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69f6fc5740fc81909774a4f65201a3ff |
completed | May 3, 2026, 7:42 a.m. |
Created at: May 1, 2026, 1:44 a.m.