Triple
T31275174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | กระทรวงกลาโหม |
E797496
|
entity |
| Predicate | มีบทบาท |
P27764
|
FINISHED |
| Object | การวางแผนยุทธศาสตร์ด้านความมั่นคง |
—
|
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: การวางแผนยุทธศาสตร์ด้านความมั่นคง | Statement: [กระทรวงกลาโหม, มีบทบาท, การวางแผนยุทธศาสตร์ด้านความมั่นคง]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: มีบทบาท Context triple: [กระทรวงกลาโหม, มีบทบาท, การวางแผนยุทธศาสตร์ด้านความมั่นคง]
-
A.
has part in role
Indicates that an entity participates as a component or constituent specifically in a defined role within a larger whole or process.
-
B.
hasNotableRoleIn
chosen
Indicates that an entity holds a significant or noteworthy role or function within another entity, event, work, or context.
-
C.
possibleRole
Indicates that an entity is capable of or eligible to serve in a particular role or function in a given context.
-
D.
メディアでの役割
Indicates the role or function an entity has within or as portrayed by a particular medium (such as TV, film, or print).
-
E.
roleInvolves
Indicates that a particular role includes or requires participation in a specified activity, responsibility, or function.
- 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_69f224de2bbc819081af6c32e1d857b9 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69edbb7648190bd89c57e0932eac1 |
completed | May 3, 2026, 1:03 a.m. |
| PD | Predicate disambiguation | batch_69f69d1bf8cc8190a78dfa5ab00daf3a |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 29, 2026, 9:13 p.m.