Triple
T24495816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 부산과학기술대학교 |
E617786
|
entity |
| Predicate | 소재지 |
P40
|
FINISHED |
| Object | 부산광역시 |
—
|
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: 부산광역시 | Statement: [부산과학기술대학교, 소재지, 부산광역시]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 소재지 Context triple: [부산과학기술대학교, 소재지, 부산광역시]
-
A.
locatedIn
chosen
Indicates that one entity exists or is situated within the spatial, administrative, or conceptual boundaries of another entity.
-
B.
mineLocation
Indicates that a specified location is the site where a particular mine (e.g., resource extraction or explosive device) is situated.
-
C.
cultLocation
Indicates that a cult or religious group is based in, practices in, or is primarily associated with a particular location.
-
D.
locatedOver
Indicates that one entity is positioned above another entity, typically without direct contact, in a vertical or overhead spatial relationship.
-
E.
foundationPlace
Indicates the place where an organization, institution, or similar entity was originally founded or established.
- 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.