Triple
T34542731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matsue College of Technology |
E886843
|
entity |
| Predicate | admissionFromGrade |
P88189
|
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: [Matsue College of Technology, admissionFromGrade, junior high school graduates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: admissionFromGrade Context triple: [Matsue College of Technology, admissionFromGrade, junior high school graduates]
-
A.
admissionsLevel
Indicates the degree or category of access, entry, or acceptance granted in an admissions context.
-
B.
admissionsBasedOn
Indicates that acceptance or entry decisions are determined according to specified criteria, factors, or conditions.
-
C.
admissionsStandard
Indicates that there is a specified criterion or set of requirements that must be met for admission to a program, institution, or opportunity.
-
D.
admissionsSystem
Indicates a relationship where an entity functions as or is associated with a system that manages or processes admissions decisions or applications.
-
E.
admitsStudentsFrom
chosen
Indicates that an educational institution accepts or enrolls students who come from a specified source, such as a school, region, or program.
- 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_69f349ce5eb881909e431c670944aa68 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71ff7bc9c81909dd1dc8bf47cba8c |
completed | May 3, 2026, 10:14 a.m. |
| PD | Predicate disambiguation | batch_69f71cc8074c81909ae09bea2acf1a09 |
completed | May 3, 2026, 10 a.m. |
Created at: May 1, 2026, 2:02 a.m.