Triple
T26641053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ยี่เป็ง |
E668779
|
entity |
| Predicate | เกี่ยวข้องกับ |
P37
|
FINISHED |
| Object | พระพุทธศาสนา |
—
|
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: พระพุทธศาสนา | Statement: [ยี่เป็ง, เกี่ยวข้องกับ, พระพุทธศาสนา]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: เกี่ยวข้องกับ Context triple: [ยี่เป็ง, เกี่ยวข้องกับ, พระพุทธศาสนา]
-
A.
involves
Indicates that an entity participates in, is a part of, or is implicated within a particular event, process, or relationship.
-
B.
повʼязанеЗ
Indicates a general association or connection between one entity and another.
-
C.
involvesIssue
Indicates that an action, event, or entity is related to, concerns, or includes a particular issue.
-
D.
relatedTo
chosen
Indicates a general, non-specific relationship or association exists between two entities.
-
E.
oftenInvolvedWith
Indicates that one entity frequently participates in or is commonly associated with activities, events, or situations involving another 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_69ee9d0024b8819090a7c8cf669a3b6c |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f61fd623bc819091df736cf3419b99 |
completed | May 2, 2026, 4:01 p.m. |
| PD | Predicate disambiguation | batch_69f61b3d23f481908dfec27adace900a |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 2:29 a.m.