Triple
T16535405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suwon |
E401676
|
entity |
| Predicate | hasUniversity |
P113
|
FINISHED |
| Object | Gyeonggi University of Science and Technology |
—
|
NE NERFINISHED |
How this triple was built (3 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: Gyeonggi University of Science and Technology | Statement: [Suwon, hasUniversity, Gyeonggi University of Science and Technology]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gyeonggi University of Science and Technology Context triple: [Suwon, hasUniversity, Gyeonggi University of Science and Technology]
-
A.
Seoul National University of Science and Technology
Seoul National University of Science and Technology is a leading public university in Seoul, South Korea, specializing in science, engineering, and technology education and research.
-
B.
Pyeongtaek University
Pyeongtaek University is a higher education institution located in Pyeongtaek, South Korea, offering a range of undergraduate and graduate programs.
-
C.
Korea University College of Engineering
Korea University College of Engineering is a leading engineering school in South Korea known for its strong research output and comprehensive undergraduate and graduate programs across multiple engineering disciplines.
-
D.
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.
-
E.
Gyeongsang National University
Gyeongsang National University is a major national research university in South Korea known for its comprehensive academic programs and regional influence.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gyeonggi University of Science and Technology Target entity description: Gyeonggi University of Science and Technology is a higher education institution in Suwon, South Korea, specializing in science and technology-focused vocational and practical training programs.
-
A.
Seoul National University of Science and Technology
Seoul National University of Science and Technology is a leading public university in Seoul, South Korea, specializing in science, engineering, and technology education and research.
-
B.
Pyeongtaek University
Pyeongtaek University is a higher education institution located in Pyeongtaek, South Korea, offering a range of undergraduate and graduate programs.
-
C.
Korea University College of Engineering
Korea University College of Engineering is a leading engineering school in South Korea known for its strong research output and comprehensive undergraduate and graduate programs across multiple engineering disciplines.
-
D.
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.
-
E.
Gyeongsang National University
Gyeongsang National University is a major national research university in South Korea known for its comprehensive academic programs and regional influence.
- F. None of above. chosen
Provenance (2 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e345574d88819094548367bf983078 |
completed | April 18, 2026, 8:48 a.m. |
Created at: April 10, 2026, 5:15 a.m.