Triple
T9504155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kyaw Ba |
E229219
|
entity |
| Predicate | governmentTypeServedIn |
P70158
|
FINISHED |
| Object | military junta |
—
|
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: military junta | Statement: [Kyaw Ba, governmentTypeServedIn, military junta]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governmentTypeServedIn Context triple: [Kyaw Ba, governmentTypeServedIn, military junta]
-
A.
governmentTypeServed
chosen
Indicates the type of government that an entity serves, is affiliated with, or operates under in its role or function.
-
B.
governmentType
Indicates the form or system of governance under which an entity (such as a country or organization) is organized and ruled.
-
C.
governmentServed
Indicates that a person has held a position serving in or working for a particular government.
-
D.
governmentTypeSupported
Indicates that an entity endorses, backs, or is in favor of a particular form or system of government.
-
E.
governmentBodyServed
Indicates that one entity has served in an official capacity within, or as a member of, a particular government body.
- 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_69ca847611c48190a28c028644198c75 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9840148081908df237f212b62e67 |
completed | April 1, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69cca567ca448190bf4bcce8ce7dd54f |
completed | April 1, 2026, 4:56 a.m. |
Created at: March 30, 2026, 7:57 p.m.