Triple
T21439360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 名谷キャンパス |
E528897
|
entity |
| Predicate | 主な学部 |
P143949
|
FINISHED |
| Object | 医学部 |
—
|
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: 医学部 | Statement: [名谷キャンパス, 主な学部, 医学部]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 主な学部 Context triple: [名谷キャンパス, 主な学部, 医学部]
-
A.
otherMainCampus
Indicates that an institution has an additional primary campus distinct from its main campus.
-
B.
collegeMajor
Indicates that a person’s primary field of academic study at a college or university is a specified subject or discipline.
-
C.
otherMajors
Indicates that an entity has additional academic majors beyond its primary or currently referenced major.
-
D.
isMostComprehensiveAcademicDivisionOf
Indicates that one academic division encompasses the widest range of subjects, programs, or responsibilities within an institution compared to all other divisions.
-
E.
partOfStudy
Indicates that something is a component, segment, or subset within a larger study or research project.
- F. None of above. chosen
Provenance (4 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_69e0c4569fa081908101baa24f8745db |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b6feb2e48190ba5649f16a8bbbda |
completed | April 22, 2026, 11:54 a.m. |
| PD | Predicate disambiguation | batch_69e61639ee288190889ffd500d1260f6 |
completed | April 20, 2026, 12:04 p.m. |
| PDg | Predicate description generation | batch_69e6190163448190a2404b396215c686 |
completed | April 20, 2026, 12:16 p.m. |
Created at: April 16, 2026, 6:04 p.m.