Triple
T19844991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seonjeongneung |
E476836
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Seolleung |
—
|
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: Seolleung | Statement: [Seonjeongneung, contains, Seolleung]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seolleung Context triple: [Seonjeongneung, contains, Seolleung]
-
A.
Seolleung
chosen
Seolleung is a royal tomb complex in Seoul, South Korea, that forms part of the UNESCO-listed Joseon Dynasty royal tombs.
-
B.
Soi-myeon
Soi-myeon is a rural township-level administrative area located within Eumseong County in North Chungcheong Province, South Korea.
-
C.
Cheong-seok
Cheong-seok is a young Buddhist monk character in the South Korean supernatural horror film "The 8th Night," who becomes involved in a struggle against an ancient evil.
-
D.
Socheongdo
Socheongdo is a small island in the Yellow Sea off the west coast of South Korea, known for its rugged coastline, fishing communities, and role as a remote outpost of Incheon’s Ongjin County.
-
E.
Hongje-dong
Hongje-dong is a neighborhood in western Seoul, South Korea, known as a residential and commercial area within Seodaemun District.
- 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_69d8e51d39d081909bcfafeaaf3d2fcc |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658091c608190b4eb9bcedd88e147 |
completed | April 20, 2026, 4:44 p.m. |
Created at: April 10, 2026, 1:51 p.m.