Triple
T19768179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donggureung |
E474811
|
entity |
| Predicate | hasKoreanName |
P17869
|
FINISHED |
| Object | 동구릉 |
—
|
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: 동구릉 | Statement: [Donggureung, hasKoreanName, 동구릉]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 동구릉 Context triple: [Donggureung, hasKoreanName, 동구릉]
-
A.
Jonggol
Jonggol is a rapidly developing district in West Java, Indonesia, known for its rural landscapes, growing residential areas, and proximity to the Jakarta metropolitan region.
-
B.
Donggureung
chosen
Donggureung is a large royal burial complex in Guri, South Korea, containing multiple tombs of Joseon Dynasty kings and queens and recognized as part of a UNESCO World Heritage site.
-
C.
Geumho-gang
Geumho-gang is a river in South Korea that flows through North Gyeongsang Province and Daegu before joining the Nakdong River.
-
D.
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.
-
E.
Yeongneung (Paju)
Yeongneung (Paju) is a royal burial site in South Korea that houses the tombs of King Sejong the Great and Queen Soheon of the Joseon Dynasty.
- 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_69d8e51a43a08190956bc6df13c91a77 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65359bb9881908f48282b63a83f2f |
completed | April 20, 2026, 4:24 p.m. |
Created at: April 10, 2026, 1:48 p.m.