Triple
T26641086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ยี่เป็ง |
E668779
|
entity |
| Predicate | เกี่ยวข้องกับศาสนา |
P27867
|
FINISHED |
| Object | พุทธเถรวาท |
—
|
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: พุทธเถรวาท | Statement: [ยี่เป็ง, เกี่ยวข้องกับศาสนา, พุทธเถรวาท]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: เกี่ยวข้องกับศาสนา Context triple: [ยี่เป็ง, เกี่ยวข้องกับศาสนา, พุทธเถรวาท]
-
A.
धर्म से संबंध
Indicates a relationship in which one entity is connected or related to another through religion or religious affiliation.
-
B.
involvedReligion
Indicates that an entity is associated with, participates in, or is characterized by a particular religion.
-
C.
hasAssociatedReligion
chosen
Indicates that an entity is connected with or linked to a particular religion.
-
D.
associatedReligionText
Indicates that there is a textual work (such as a scripture or religious document) that is specifically associated with, or pertains to, a given religion.
-
E.
associatedReligionOrBelief
Indicates that an entity is connected to, identified with, or characterized by a particular religion or belief system.
- 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_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, 2:29 a.m.