Triple
T31275162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | กระทรวงกลาโหม |
E797496
|
entity |
| Predicate | มีรัฐมนตรีว่าการ |
P7820
|
FINISHED |
| Object | รัฐมนตรีว่าการกระทรวงกลาโหม |
—
|
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: รัฐมนตรีว่าการกระทรวงกลาโหม | Statement: [กระทรวงกลาโหม, มีรัฐมนตรีว่าการ, รัฐมนตรีว่าการกระทรวงกลาโหม]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: มีรัฐมนตรีว่าการ Context triple: [กระทรวงกลาโหม, มีรัฐมนตรีว่าการ, รัฐมนตรีว่าการกระทรวงกลาโหม]
-
A.
hasMinisterTitle
Indicates that an entity holds or is associated with a specific ministerial title or office.
-
B.
hasMinister
chosen
Indicates that one entity serves as the minister (political, religious, or administrative official) responsible for or associated with another entity.
-
C.
ministerIs
Indicates that one entity serves in the role or capacity of a minister in relation to another entity.
-
D.
hasMinisterialRank
Indicates that an entity holds a position or status equivalent to a government minister in rank.
-
E.
hasLayMinisters
Indicates that an entity includes or is served by lay ministers (non-ordained individuals performing ministerial roles).
- 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.