Triple
T33329876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 法政大学法学部 |
E853372
|
entity |
| Predicate | 母体大学の種別 |
P90781
|
FINISHED |
| Object | 私立大学 |
—
|
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: 私立大学 | Statement: [法政大学法学部, 母体大学の種別, 私立大学]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 母体大学の種別 Context triple: [法政大学法学部, 母体大学の種別, 私立大学]
-
A.
母体大学
Indicates that one institution serves as the parent or originating university from which another institution is derived or affiliated.
-
B.
typeOfUniversity
chosen
Indicates the specific category or classification of a university (e.g., public, private, technical, etc.) that an institution belongs to.
-
C.
universityUnitType
Indicates the specific category or type of organizational unit within a university (such as department, faculty, school, or institute) that an entity belongs to.
-
D.
typeOfInstitution
Indicates the specific kind or category of institution that an entity belongs to or is classified as.
-
E.
publicUniversityType
Indicates that an institution is classified as a public university, typically funded and operated by government or state authorities.
- 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_69f34969614c81909cd99661b0902533 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e3156ea48190b604e414665ef351 |
completed | May 3, 2026, 5:54 a.m. |
| PD | Predicate disambiguation | batch_69f6de0b9ba48190887c9eb5d06a2e94 |
completed | May 3, 2026, 5:32 a.m. |
Created at: May 1, 2026, 1:34 a.m.