Triple
T17707792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kumgangsan |
E441476
|
entity |
| Predicate | hasReligiousSite |
P916
|
FINISHED |
| Object | Yujomsa Temple |
—
|
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: Yujomsa Temple | Statement: [Kumgangsan, hasReligiousSite, Yujomsa Temple]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yujomsa Temple Context triple: [Kumgangsan, hasReligiousSite, Yujomsa Temple]
-
A.
Bomunsa Temple
Bomunsa Temple is a historic Buddhist temple on South Korea’s Ganghwa Island, known for its cliffside location, scenic sea views, and significant religious heritage.
-
B.
Hoonji Temple
Hoonji Temple is a historic Buddhist temple in Morioka, Japan, best known for its collection of expressive wooden statues of the 500 Arhats.
-
C.
Pyochungsa Temple
Pyochungsa Temple is a historic Buddhist temple in Miryang, South Korea, renowned for its cultural heritage and scenic mountain setting.
-
D.
Kumgangsan Temple
chosen
Kumgangsan Temple is a historic Buddhist temple located in North Korea’s Mount Kumgang (Kumgangsan) region, known for its scenic mountain setting and cultural significance.
-
E.
Jeondeungsa Temple
Jeondeungsa Temple is a historic Buddhist temple in South Korea renowned for its ancient architecture, cultural relics, and scenic forested setting.
- 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_69d8b9ea20b48190ace88bb46b01e6a9 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e472990b5c81908e0414d3230f283e |
completed | April 19, 2026, 6:13 a.m. |
Created at: April 10, 2026, 10:05 a.m.