Triple
T36495331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boeun-gun |
E899168
|
entity |
| Predicate | religionSiteTypeAtBeopjusa |
P34373
|
FINISHED |
| Object | Buddhist temple |
—
|
LITERAL 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: Buddhist temple | Statement: [Boeun-gun, religionSiteTypeAtBeopjusa, Buddhist temple]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religionSiteTypeAtBeopjusa Context triple: [Boeun-gun, religionSiteTypeAtBeopjusa, Buddhist temple]
-
A.
religiousSiteType
chosen
Indicates the specific kind or category of religious site associated with an entity (e.g., church, mosque, temple).
-
B.
religiousSiteInRegion
Indicates that a religious site is located within or belongs to a specified geographic region.
-
C.
countryOfWorshipSite
Indicates that a place of worship is located within the borders of a specified country.
-
D.
placeOfShrine
Indicates the location where a shrine is situated or established.
-
E.
isPlaceOfPilgrimageFor
Indicates that a location serves as a destination for religious or spiritual pilgrimage for a person or group.
- F. None of above.
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_69f76e5ad4588190bdbce60c52fbb785 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fff86e544c81908063f61b876c9d78 |
completed | May 10, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69fff7e7cb688190977eeca41aad25b9 |
completed | May 10, 2026, 3:13 a.m. |
Created at: May 3, 2026, 4:10 p.m.