Triple
T16747641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KISTI |
E406995
|
entity |
| Predicate | headquarters |
P62
|
FINISHED |
| Object | Daejeon, South Korea |
E790509
|
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: Daejeon, South Korea | Statement: [KISTI, headquarters, Daejeon, South Korea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daejeon, South Korea Context triple: [KISTI, headquarters, Daejeon, South Korea]
-
A.
Daejeon, South Korea
chosen
Daejeon, South Korea is a major inland city known as a national hub for science, technology, and research, home to numerous universities, government research institutes, and high-tech industries.
-
B.
Daegu, South Korea
Daegu, South Korea is a major city in the southeastern part of the country known for its role as an industrial, cultural, and educational center.
-
C.
Suwon, South Korea
Suwon, South Korea is a major city just south of Seoul known for its high-tech industry and the UNESCO-listed Hwaseong Fortress.
-
D.
Gwangju, South Korea
Gwangju, South Korea is a major southwestern city known for its pivotal role in the country’s pro-democracy movement and its vibrant cultural and artistic scene.
-
E.
Cheongju, South Korea
Cheongju is a major city in central South Korea that serves as the capital of North Chungcheong Province and an important regional hub for administration, education, and transportation.
- 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_69d8838ffb088190a0b11149929006bf |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3aa2439848190a86a5bfc0702e2fe |
completed | April 18, 2026, 3:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00b281cce881908c401bca3cf21dfc |
completed | May 10, 2026, 4:29 p.m. |
Created at: April 10, 2026, 5:21 a.m.