Triple
T16535403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suwon |
E401676
|
entity |
| Predicate | hasUniversity |
P113
|
FINISHED |
| Object | Kyonggi University |
—
|
NE NERFINISHED |
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: Kyonggi University | Statement: [Suwon, hasUniversity, Kyonggi University]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kyonggi University Context triple: [Suwon, hasUniversity, Kyonggi University]
-
A.
Kyonggi University
chosen
Kyonggi University is a private South Korean university known for its main campus in Suwon and a broad range of undergraduate and graduate programs.
-
B.
Sungkyul University
Sungkyul University is a South Korean higher education institution known for producing alumni such as actor Wi Ha-joon.
-
C.
Chosun University
Chosun University is a major private research university in South Korea known for its comprehensive academic programs and regional influence.
-
D.
Hanyang University
Hanyang University is a major private research university in Seoul, South Korea, renowned for its engineering, technology, and industry-linked education and innovation.
-
E.
Hansung University
Hansung University is a private higher education institution in Seoul, South Korea, known for its programs in humanities, social sciences, design, and information technology.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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.