Triple
T6563917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bangudae Petroglyphs |
E153852
|
entity |
| Predicate | nationalTreasureNumber |
P71892
|
FINISHED |
| Object | 285 |
—
|
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: 285 | Statement: [Bangudae Petroglyphs, nationalTreasureNumber, 285]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nationalTreasureNumber Context triple: [Bangudae Petroglyphs, nationalTreasureNumber, 285]
-
A.
designatedAsNationalTreasureBy
Indicates that an entity has been officially recognized and declared a national treasure by a specific authority or country.
-
B.
nationalMonument
Indicates that something has been officially designated as a national monument by a country or governing authority.
-
C.
nationalMuseum
Indicates that an entity functions as a primary, officially recognized museum representing a nation at the national level.
-
D.
hasNumberOfMonuments
Indicates the specific count of monuments associated with or present in a given entity.
-
E.
numismaticSignificance
Indicates the degree to which something holds importance, value, or relevance within the context of coins, currency, or related monetary artifacts.
- F. None of above. chosen
Provenance (4 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_69c6880cb35881909b763eb0125236b9 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6cc9c6cb0819084fec8e0beb430de |
completed | March 27, 2026, 6:29 p.m. |
| PD | Predicate disambiguation | batch_69c6acf93cb48190b54f5dd6febd34dc |
completed | March 27, 2026, 4:14 p.m. |
| PDg | Predicate description generation | batch_69c6cc988c0081909d22b86ca299331c |
completed | March 27, 2026, 6:29 p.m. |
Created at: March 27, 2026, 1:52 p.m.