Triple
T11772135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Graduate School of Public Health, Yonsei University |
E279924
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Sinchon-dong |
E344372
|
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: Sinchon-dong | Statement: [Graduate School of Public Health, Yonsei University, locatedIn, Sinchon-dong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sinchon-dong Context triple: [Graduate School of Public Health, Yonsei University, locatedIn, Sinchon-dong]
-
A.
Sinchon-dong
chosen
Sinchon-dong is a vibrant neighborhood in Seoul, South Korea, known for its youthful atmosphere, shopping, nightlife, and concentration of major universities.
-
B.
Sinsa-dong
Sinsa-dong is a fashionable neighborhood in Seoul, South Korea, known for its trendy boutiques, cafes, and the popular Garosu-gil shopping street.
-
C.
Cheonghak-dong
Cheonghak-dong is a neighborhood (dong) located within Dong-gu, one of the central districts of Busan, South Korea.
-
D.
Cheonghak-dong
Cheonghak-dong is a neighborhood within the city of Osan in Gyeonggi Province, South Korea.
-
E.
Yeocheon-dong
Yeocheon-dong is a neighborhood in Ulsan, South Korea, known for encompassing the expansive Ulsan Grand Park.
- 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_69d6ab01d2688190ad8ed6bda487eaa5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a55dfa088190a59b35d0247225e3 |
completed | April 10, 2026, 7:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63eda009481909870bd38200dd187 |
completed | May 2, 2026, 6:13 p.m. |
Created at: April 8, 2026, 9:41 p.m.