Triple
T9126741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2010 Myanmar general election |
E218983
|
entity |
| Predicate | tookPlaceUnderRegime |
P75172
|
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: [2010 Myanmar general election, tookPlaceUnderRegime, military junta]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tookPlaceUnderRegime Context triple: [2010 Myanmar general election, tookPlaceUnderRegime, military junta]
-
A.
historicalRegime
Indicates that one entity functioned as a governing regime or ruling authority over another entity during a specific historical period.
-
B.
laterPoliticalSystemUnderRule
Indicates that one political system came under the rule or authority of another political system at a later point in time.
-
C.
politicalSystemDuringRule
Indicates the type of political system that was in place during a particular ruler’s period of governance.
-
D.
historicallyUnderRuleOf
Indicates that one entity was historically governed, controlled, or ruled by another entity during a past period.
-
E.
politicalRegimeContext
chosen
Indicates the type of political regime or governing system within which an action, event, or relationship takes place.
- 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_69ca83debfc0819095800583e97ab10f |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8c93d3c8190b003b2b1af2003b2 |
completed | April 1, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69cc66003e3c819091e1e42c9cf7c781 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:18 p.m.