Triple
T26641085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ยี่เป็ง |
E668779
|
entity |
| Predicate | มีความสำคัญในด้าน |
P1887
|
FINISHED |
| Object | การอนุรักษ์ประเพณีล้านนา |
—
|
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: การอนุรักษ์ประเพณีล้านนา | Statement: [ยี่เป็ง, มีความสำคัญในด้าน, การอนุรักษ์ประเพณีล้านนา]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: มีความสำคัญในด้าน Context triple: [ยี่เป็ง, มีความสำคัญในด้าน, การอนุรักษ์ประเพณีล้านนา]
-
A.
importantInSect
Indicates that one entity holds significant importance, influence, or status within a particular sect or religious subgroup.
-
B.
isImportantFor
chosen
Indicates that something holds significant value, relevance, or necessity in relation to something else.
-
C.
strategicImportanceDueTo
Indicates that one entity possesses strategic significance specifically as a result of its connection, characteristics, or influence related to another entity.
-
D.
importanceInRacing
Indicates the degree to which something plays a significant or influential role within the context of racing.
-
E.
importanceInLap
Indicates the degree to which something is significant or influential within a specific lap or iteration of an event or process.
- 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.