Triple
T31274223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Imjingak Resort |
E797472
|
entity |
| Predicate | hasMemorialAltar |
P15258
|
FINISHED |
| Object | Mangbaedan |
—
|
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: Mangbaedan | Statement: [Imjingak Resort, hasMemorialAltar, Mangbaedan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMemorialAltar Context triple: [Imjingak Resort, hasMemorialAltar, Mangbaedan]
-
A.
hasAltar
chosen
Indicates that one entity possesses, contains, or includes an altar as part of its features or components.
-
B.
hasMainAltarFor
Indicates that a specific altar serves as the primary or central altar designated for a particular entity, such as a church, chapel, or religious space.
-
C.
hasMemorial
Indicates that a memorial exists in honor of, or dedicated to, a particular entity.
-
D.
hasMemorialRoom
Indicates that an entity possesses or contains a dedicated room serving as a memorial to a person, group, or event.
-
E.
hasGraveOrMemorialOf
Indicates that a location or object serves as the grave or memorial site dedicated to a particular person or entity.
- 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_69f224de2bbc819081af6c32e1d857b9 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fe066d62b48190867df334039be786 |
completed | May 8, 2026, 3:51 p.m. |
| PD | Predicate disambiguation | batch_69fe03afde3c8190a5b9b0778d19eb1a |
completed | May 8, 2026, 3:39 p.m. |
Created at: April 29, 2026, 9:13 p.m.