Triple
T31275164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | กระทรวงกลาโหม |
E797496
|
entity |
| Predicate | สังกัด |
P14547
|
FINISHED |
| Object | รัฐบาลไทย |
—
|
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: รัฐบาลไทย | Statement: [กระทรวงกลาโหม, สังกัด, รัฐบาลไทย]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: สังกัด Context triple: [กระทรวงกลาโหม, สังกัด, รัฐบาลไทย]
-
A.
factionAssociated
Indicates that an entity is connected to, aligned with, or belongs to a particular faction.
-
B.
commanderAffiliation
Indicates that a commander is formally associated with, belongs to, or serves under a particular organization, group, or side.
-
C.
divisionAssociation
chosen
Indicates an organizational relationship where one entity functions as a division, branch, or sub-unit of another entity.
-
D.
divisionAffiliation
Indicates that one entity is formally associated with, belongs to, or is part of a specific division within a larger organization or structure.
-
E.
typicalCrewAffiliation
Indicates the usual or standard organizational group, team, or crew with which an entity is affiliated or associated.
- 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.