Triple
T24495818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 부산과학기술대학교 |
E617786
|
entity |
| Predicate | 설립목적 |
P32787
|
FINISHED |
| Object | 공학·보건·서비스 분야 전문 인력 양성 |
—
|
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: 공학·보건·서비스 분야 전문 인력 양성 | Statement: [부산과학기술대학교, 설립목적, 공학·보건·서비스 분야 전문 인력 양성]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 설립목적 Context triple: [부산과학기술대학교, 설립목적, 공학·보건·서비스 분야 전문 인력 양성]
-
A.
purposeOfFoundation
chosen
Indicates the reason or intended goal for which an organization, institution, or entity was originally established.
-
B.
aimOf
Indicates that one entity serves as the goal, purpose, or intended target of another entity’s action, plan, or existence.
-
C.
aimedToEstablish
Indicates an intention or effort directed toward creating, founding, or setting up something.
-
D.
purposeOfIncorporation
Indicates that an entity was incorporated with the specific goal, function, or intended activity described by another entity or statement.
-
E.
fundingObjective
Indicates the purpose or goal for which financial resources are being sought, allocated, or used.
- 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_69e2d7f4e6bc8190aec540ae3b9ed7f2 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2a9d912e88190bc39c05a9d7f407e |
completed | April 30, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69f2a6a4580481908fddc385f5262f95 |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:22 a.m.