Triple
T26949893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haeinsa |
E678751
|
entity |
| Predicate | TripitakaKoreanaContent |
P16933
|
FINISHED |
| Object | Buddhist scriptures |
—
|
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 scriptures | Statement: [Haeinsa, TripitakaKoreanaContent, Buddhist scriptures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: TripitakaKoreanaContent Context triple: [Haeinsa, TripitakaKoreanaContent, Buddhist scriptures]
-
A.
TripitakaKoreanaLanguage
Indicates that the Tripitaka Koreana is written or recorded in a particular language.
-
B.
TripitakaKoreanaNumberOfBlocks
Indicates the quantity of individual printing blocks associated with the Tripitaka Koreana.
-
C.
book5Content
chosen
Indicates that one entity is the content or textual material contained within the book represented by the other entity.
-
D.
titleInKorean
Indicates that an entity has a specific title expressed in the Korean language.
-
E.
book7Content
Indicates that an entity contains or represents the content of book 7 in a series or collection.
- 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_69eeeb4e75f08190b14fc91ca4a91488 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f62d53ad58819080c5227c7a729d15 |
completed | May 2, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69f62c15952881908a5ea0c25904afec |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 6:24 a.m.