Triple
T20454239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tripitaka Koreana |
E501732
|
entity |
| Predicate | UNESCOSubmissionYear |
P57323
|
FINISHED |
| Object | 2007 |
—
|
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: 2007 | Statement: [Tripitaka Koreana, UNESCOSubmissionYear, 2007]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: UNESCOSubmissionYear Context triple: [Tripitaka Koreana, UNESCOSubmissionYear, 2007]
-
A.
UNESCOTransferYear
Indicates the year in which responsibility, ownership, or designation of something was formally transferred under the authority or framework of UNESCO.
-
B.
UNESCOSessionOfInscription
Indicates the specific UNESCO session during which an item was formally inscribed or added to a UNESCO list.
-
C.
UNESCOWorldHeritageExtensionYear
Indicates the year in which an existing UNESCO World Heritage Site was officially extended or had its boundaries/inscription scope modified.
-
D.
UNESCOElement
Indicates that one entity is recognized as an element associated with UNESCO, such as being part of its heritage, cultural, or educational designations.
-
E.
inscribedOnUNESCOListInYear
chosen
Indicates that an entity was officially added to a UNESCO list (such as World Heritage) in a specified year.
- 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_69e0b4ad4940819098cf2ff6413574e5 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e68d04ca4081909b428c31d16fca10 |
completed | April 20, 2026, 8:31 p.m. |
| PD | Predicate disambiguation | batch_69e57679eb40819086142df3e39c928e |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 16, 2026, 11:32 a.m.