Triple
T34976027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krakozhian |
E1008678
|
entity |
| Predicate | governmentChangeInPlot |
P133789
|
FINISHED |
| Object | overthrow of government |
—
|
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: overthrow of government | Statement: [Krakozhian, governmentChangeInPlot, overthrow of government]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governmentChangeInPlot Context triple: [Krakozhian, governmentChangeInPlot, overthrow of government]
-
A.
politicalChangeAssociatedWith
Indicates that one political change is connected or correlated with another event, condition, or transformation.
-
B.
causeOfChangeOfGovernment
Indicates a relationship where one entity is responsible for bringing about a change in the governing authority or political leadership of another entity.
-
C.
governanceChange
Indicates a change in the structure, rules, or authority of how an entity, organization, or system is governed.
-
D.
replacedGovernment
chosen
Indicates that one government has been removed from power and substituted by another, typically through political, legal, or forceful means.
-
E.
politicalShift
Indicates a change in an entity’s political position, alignment, or governing structure over time.
- 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_69f76dc78a308190a1ac29ad4a9a4895 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a0191d96dc88190ac0823e534f9d704 |
completed | May 11, 2026, 8:22 a.m. |
| PD | Predicate disambiguation | batch_6a01908110448190a46442ffe4d15f5f |
completed | May 11, 2026, 8:17 a.m. |
Created at: May 3, 2026, 4:01 p.m.