Triple
T1334819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pusan National University |
E28722
|
entity |
| Predicate | QSAsiaRankingCategory |
P12314
|
FINISHED |
| Object | top regional university in South Korea |
—
|
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: top regional university in South Korea | Statement: [Pusan National University, QSAsiaRankingCategory, top regional university in South Korea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: QSAsiaRankingCategory Context triple: [Pusan National University, QSAsiaRankingCategory, top regional university in South Korea]
-
A.
rankByLengthInAsia
Indicates that entities are ordered or compared based on their length within the context of Asia.
-
B.
globalRanking
Indicates the position or status of an entity relative to all comparable entities worldwide according to some ranking criteria.
-
C.
rankedAs
Indicates that one entity is assigned a specific position or level in an ordered ranking relative to others.
-
D.
hasRankingCategory
chosen
Indicates that an entity is associated with a particular ranking category or tier within an ordered classification system.
-
E.
NATORankCode
Indicates the standardized NATO rank classification assigned to a military person or position within the alliance.
- 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_69a498561a508190a3e1bc137c2b866a |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c1eb119881909dd5fbf728d9e8ba |
completed | March 1, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69a4bef174708190a07bbc697fe19a2d |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:55 p.m.