Triple
T21439493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 法学部 |
E528900
|
entity |
| Predicate | 関連資格 |
P133472
|
FINISHED |
| Object | 司法試験受験資格の基礎的学力の養成 |
—
|
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: 司法試験受験資格の基礎的学力の養成 | Statement: [法学部, 関連資格, 司法試験受験資格の基礎的学力の養成]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 関連資格 Context triple: [法学部, 関連資格, 司法試験受験資格の基礎的学力の養成]
-
A.
relatedCertification
chosen
Indicates that one certification is associated with, connected to, or relevant to another certification in some meaningful way.
-
B.
basisOfQualification
Indicates that something serves as the underlying reason, criterion, or evidence for a particular qualification or eligibility.
-
C.
qualificationLeadsTo
Indicates that obtaining a particular qualification results in or enables a subsequent outcome, status, or opportunity.
-
D.
typicalQualificationAwarded
Indicates the qualification that is most commonly or normally awarded as a result of completing a given program, course, or activity.
-
E.
hasQualification
Indicates that an entity possesses a specific qualification, credential, or competency.
- 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_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. |
Created at: April 16, 2026, 6:05 p.m.