Triple
T27849499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 国際社会科学専攻 |
E703910
|
entity |
| Predicate | 所属研究科 |
P73331
|
FINISHED |
| Object | 東京大学大学院総合文化研究科 |
—
|
NE NERFINISHED |
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: 東京大学大学院総合文化研究科 | Statement: [国際社会科学専攻, 所属研究科, 東京大学大学院総合文化研究科]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 所属研究科 Context triple: [国際社会科学専攻, 所属研究科, 東京大学大学院総合文化研究科]
-
A.
所属大学
Indicates that one entity is the university to which the other entity belongs or is affiliated (e.g., as a student, faculty member, or staff).
-
B.
相关学院
Indicates a relationship where an entity is associated with, belongs to, or is administered by a particular college or faculty within an institution.
-
C.
isPartOfStudyField
Indicates that one subject, topic, or subfield belongs to, is included within, or is a component of a broader academic or research field.
-
D.
著名院系
Indicates that an academic department or faculty is renowned or distinguished in its field.
-
E.
locatedInFaculty
chosen
Indicates that an entity (such as a department, office, or program) is situated within or belongs administratively to a specific faculty.
- 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_69ef840d9e3c819093615ebff4ec22be |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f639040e748190a283658f38d24ef7 |
completed | May 2, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69f6318ae6f08190b3f85f9201046a15 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 27, 2026, 6:09 p.m.