Triple
T7720396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UNIST |
E174992
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | UNIST |
E174992
|
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: UNIST | Statement: [UNIST, shortName, UNIST]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UNIST Context triple: [UNIST, shortName, UNIST]
-
A.
UNIST
chosen
UNIST is a leading South Korean science and technology research university located in Ulsan, known for its strong emphasis on engineering, innovation, and interdisciplinary research.
-
B.
Chungnam National University
Chungnam National University is a major national research university in South Korea known for its comprehensive academic programs and strong emphasis on science and technology, located in the city of Daejeon.
-
C.
KAIST
KAIST is a leading South Korean research university renowned for its strengths in science, engineering, and technology.
-
D.
University of Ulsan
The University of Ulsan is a major private research university in Ulsan, South Korea, known for its strong engineering and industrial cooperation programs.
-
E.
Pusan National University
Pusan National University is a major national research university in South Korea known for its comprehensive academic programs and strong regional influence in the city of Busan.
- 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_69c6995d541c81909eaa646b1a8369a9 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702f0366c8190a78f0b03f090fc2c |
completed | March 27, 2026, 10:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8d6b1f7648190a0e2fd82ecb9c8b9 |
completed | March 29, 2026, 7:37 a.m. |
Created at: March 27, 2026, 4:05 p.m.