Triple
T11357976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vidkun Quisling |
E269010
|
entity |
| Predicate | regimeCharacterization |
P44129
|
FINISHED |
| Object | puppet government under German occupation |
—
|
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: puppet government under German occupation | Statement: [Vidkun Quisling, regimeCharacterization, puppet government under German occupation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regimeCharacterization Context triple: [Vidkun Quisling, regimeCharacterization, puppet government under German occupation]
-
A.
regimeDescription
chosen
Indicates that an entity provides a textual characterization or explanation of a particular regime, system, or governing arrangement.
-
B.
regimeDefinedBy
Indicates that a particular regime is characterized, specified, or determined by another entity or set of rules.
-
C.
recognizesRegime
Indicates that one entity formally acknowledges the legitimacy or authority of another entity’s governing regime.
-
D.
regimeName
Indicates that a particular name or label is assigned to a specific regime.
-
E.
politicalRegimeContext
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_69d6aacbe18081909e5fadb50082dd96 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d80148e2048190a716b515d78efdd1 |
completed | April 9, 2026, 7:43 p.m. |
| PD | Predicate disambiguation | batch_69d7e6f8aeb4819080476f16a69b2ee3 |
completed | April 9, 2026, 5:50 p.m. |
Created at: April 8, 2026, 9:33 p.m.