Triple
T6535872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pusan National University |
E152361
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | PNU |
E152361
|
NE 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: PNU | Statement: [Pusan National University, shortName, PNU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PNU Context triple: [Pusan National University, shortName, PNU]
-
A.
PNU
chosen
PNU is a major national research university located in Busan, South Korea, known for its comprehensive academic programs and strong regional influence.
-
B.
PUC
PUC is a top-level United States military unit award given for extraordinary heroism in action against an armed enemy.
-
C.
PUC
PUC is a leading Chilean higher education institution renowned for its academic excellence, research output, and strong Catholic tradition.
-
D.
PSU
PSU is a public research university located in downtown Portland, Oregon, known for its urban campus and emphasis on community engagement and sustainability.
-
E.
NSU
NSU is a private research university in Fort Lauderdale, Florida, known for its programs in health professions, law, business, and education.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c688048ec8819093a47f7d332e12ec |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6adc238688190aca143b22b8a399c |
completed | March 27, 2026, 4:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d532b5348190986cf30883ed147b |
completed | March 27, 2026, 7:06 p.m. |
Created at: March 27, 2026, 1:46 p.m.