Triple
T28269480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Republic of China politics |
E712803
|
entity |
| Predicate | transitionedToDemocracy |
P8690
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Republic of China politics, transitionedToDemocracy, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transitionedToDemocracy Context triple: [Republic of China politics, transitionedToDemocracy, yes]
-
A.
democraticTransition
chosen
Indicates a process in which a political system shifts from non-democratic or less democratic rule toward a more democratic form of governance.
-
B.
timeSincePreviousDictatorship
Indicates the amount of time that has elapsed since the end of the most recent prior dictatorship.
-
C.
democracyStatus
Indicates the degree or condition of a political system’s adherence to democratic principles or governance.
-
D.
republicTransition
Indicates a change in a state's form of government from a non-republic system to a republican system.
-
E.
democraticPeriod
Indicates a time span during which a political system or government operates under democratic principles and institutions.
- 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_69efb5216c6881908020dce4aea65381 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69fbaebc8f2c8190b94f1b4a3ec92e8c |
completed | May 6, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69fbadf1e6008190a71bbd196ba06844 |
completed | May 6, 2026, 9:09 p.m. |
Created at: April 27, 2026, 11:17 p.m.