Triple
T8752881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dongnae Eupseong History Festival |
E208001
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | Dongnae Eupseong |
E758842
|
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: Dongnae Eupseong | Statement: [Dongnae Eupseong History Festival, relatedTo, Dongnae Eupseong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dongnae Eupseong Context triple: [Dongnae Eupseong History Festival, relatedTo, Dongnae Eupseong]
-
A.
Dongnae Eupseong
chosen
Dongnae Eupseong is a historic fortress in Busan, South Korea, known for its well-preserved walls and role as a cultural heritage site commemorating regional history and defense.
-
B.
Mokneung
Mokneung is one of the royal burial sites from Korea’s Joseon Dynasty, forming part of the UNESCO-listed Royal Tombs complex.
-
C.
Gaya-dong
Gaya-dong is a neighborhood in Busan, South Korea, known as a residential and commercial area within the central urban zone of the city.
-
D.
Yangsan-dong
Yangsan-dong is a neighborhood (dong) within the city of Osan in Gyeonggi Province, South Korea.
-
E.
Seo-dong
Seo-dong is a neighborhood within Busan’s Geumjeong District in South Korea, known primarily as a residential area with local commerce and community facilities.
- 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_69ca835cd6b08190bd7c63db92f53c86 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5da8cc548190a31ad542d2faf2d5 |
completed | March 31, 2026, 11:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf88e892688190ac1434598b3984b9 |
completed | April 3, 2026, 9:31 a.m. |
Created at: March 30, 2026, 6:39 p.m.