Triple
T21800447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | たまプラーザキャンパス |
E538224
|
entity |
| Predicate | 国公私立区分 |
P102976
|
FINISHED |
| Object | 私立大学キャンパス |
—
|
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: 私立大学キャンパス | Statement: [たまプラーザキャンパス, 国公私立区分, 私立大学キャンパス]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 国公私立区分 Context triple: [たまプラーザキャンパス, 国公私立区分, 私立大学キャンパス]
-
A.
办学性质
chosen
Indicates the nature or type of an educational institution’s operation (e.g., public, private, or other organizing/operating character).
-
B.
旧制大学区分
Indicates a classification relationship that specifies how something is categorized according to the former (pre-war) Japanese university system.
-
C.
isNonPublicSchool
Indicates that a school operates as a private or otherwise non-public institution, not funded or administered as part of the public school system.
-
D.
学校属性
Indicates a relationship that specifies an attribute or characteristic of a school.
-
E.
isOnlyPublicSchoolIn
Indicates that a school is the single public school located within a specified geographic or administrative area.
- 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_69e0c4733f4081909a86622e7e6d15d2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f077fede848190b8fe07941d6573d9 |
completed | April 28, 2026, 9:03 a.m. |
| PD | Predicate disambiguation | batch_69e6be751ce881909badced245ef76c7 |
completed | April 21, 2026, 12:01 a.m. |
Created at: April 16, 2026, 6:53 p.m.