Triple
T2685780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Korea University |
E57481
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object | 고려대학교 |
E57481
|
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: 고려대학교 | Statement: [Korea University, nativeName, 고려대학교]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 고려대학교 Context triple: [Korea University, nativeName, 고려대학교]
-
A.
Korea University
chosen
Korea University is a leading private research university in Seoul, South Korea, renowned for its comprehensive academic programs and status as one of the country’s top institutions.
-
B.
Chosun University
Chosun University is a major private research university in South Korea known for its comprehensive academic programs and regional influence.
-
C.
Yonsei University
Yonsei University is one of South Korea’s leading private research universities, renowned for its strong international programs and membership in prestigious global academic networks.
-
D.
Keimyung University
Keimyung University is a private Christian university in Daegu, South Korea, known for its international programs and picturesque campus.
-
E.
Seoul National University
Seoul National University is South Korea’s premier national research university, renowned for its highly competitive admissions and leading role in the country’s higher education and academic research.
- 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_69ab4a5028388190a36f3baf1588309e |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd9ef2fe0819082bbe746ca682a7e |
completed | March 7, 2026, 7:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afa07228088190bb4942b3a25c938b |
completed | March 10, 2026, 4:39 a.m. |
Created at: March 6, 2026, 9:54 p.m.