Triple
T3674086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kapp Putsch |
E77947
|
entity |
| Predicate | governmentTargeted |
P23717
|
FINISHED |
| Object | cabinet of Gustav Bauer |
—
|
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: cabinet of Gustav Bauer | Statement: [Kapp Putsch, governmentTargeted, cabinet of Gustav Bauer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governmentTargeted Context triple: [Kapp Putsch, governmentTargeted, cabinet of Gustav Bauer]
-
A.
intendedTargetAccordingToUSGovernment
Indicates that, according to the U.S. government, a particular entity is designated or recognized as the intended target of a specific action, operation, policy, or measure.
-
B.
oppositionTargeted
Indicates that an action or strategy is specifically directed against or aimed at an opposing party, group, or viewpoint.
-
C.
targetedOffice
chosen
Indicates that an action, event, or campaign was specifically directed at or focused on a particular office or organizational unit.
-
D.
governmentAction
Indicates actions, decisions, or interventions carried out by a government or its agencies in relation to other entities.
-
E.
governmentOwned
Indicates that an entity is owned or controlled by a government or public authority.
- 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_69ad85e083008190b2e1b7085fe500bd |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc45fbd1c819099023791452f1beb |
completed | March 8, 2026, 6:47 p.m. |
| PD | Predicate disambiguation | batch_69adb84a20288190a092e4a1b045fe3f |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:25 p.m.