Triple
T11246087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 法学研究科 |
E266207
|
entity |
| Predicate | 対象学生 |
P11007
|
FINISHED |
| Object | 大学卒業者 |
—
|
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: 大学卒業者 | Statement: [法学研究科, 対象学生, 大学卒業者]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 対象学生 Context triple: [法学研究科, 対象学生, 大学卒業者]
-
A.
targetStudentGroup
chosen
Indicates a relationship where something is directed, tailored, or intended specifically for a particular group of students.
-
B.
hasStudents
Indicates that an entity (such as a class, school, or teacher) is associated with one or more students.
-
C.
studentsReceive
Indicates that one or more students are the recipients of something, such as instruction, resources, or communications, from another source.
-
D.
primaryStudentBody
Indicates that one entity serves as the main group of enrolled students associated with an educational institution or program.
-
E.
hasStudentBodyFrom
Indicates that an educational institution draws or enrolls its student body from a specified geographic area, group, or source.
- 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_69d6aac7953c8190b82caf9d7640fdf9 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e91c045c81908a9024a8aee32f4d |
completed | April 9, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69d7878906f48190b63ddc103a0c8f9b |
completed | April 9, 2026, 11:03 a.m. |
Created at: April 8, 2026, 9:31 p.m.