Triple
T19768180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donggureung |
E474811
|
entity |
| Predicate | nameRomanization |
P2508
|
FINISHED |
| Object | Donggureung |
—
|
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: Donggureung | Statement: [Donggureung, nameRomanization, Donggureung]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Donggureung Context triple: [Donggureung, nameRomanization, Donggureung]
-
A.
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.
-
B.
Dongjum
Dongjum is a small village in the province of Friesland in the northern Netherlands, known for its rural character and traditional Frisian landscape.
-
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.
Haan-dong
Haan-dong is a neighborhood in the city of Gwangmyeong, South Korea, known as one of its local residential and commercial districts.
-
E.
Namdaecheon
Namdaecheon is a river in Gangneung, South Korea, known for flowing through the city toward the East Sea and serving as a local natural and recreational landmark.
- 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.