Triple
T21049845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volksgerichtshof |
E518546
|
entity |
| Predicate | fateAfter1945 |
P5141
|
FINISHED |
| Object | abolished by Allied occupation authorities |
—
|
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: abolished by Allied occupation authorities | Statement: [Volksgerichtshof, fateAfter1945, abolished by Allied occupation authorities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fateAfter1945 Context triple: [Volksgerichtshof, fateAfter1945, abolished by Allied occupation authorities]
-
A.
regionAfter1945
Indicates that one region exists as the geopolitical or administrative successor of another region after the year 1945.
-
B.
operatorAfter1945
Indicates that the entity served as an operator of the related object or system at some point after the year 1945.
-
C.
countryAfter1945
Indicates that one entity is a country that existed or was established after the year 1945 in relation to the other entity.
-
D.
statusAfterWWII
chosen
Indicates the condition, role, or classification an entity had following the end of World War II.
-
E.
regionBefore1945
Indicates that one region existed or was defined in a particular way prior to the year 1945.
- 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_69e0b5053ac48190921529544959e906 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fd7a5cf48190939aefaa44db1ddb |
completed | April 21, 2026, 4:30 a.m. |
| PD | Predicate disambiguation | batch_69e5dbf6728881908a2a43a5c8804a2a |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 2:34 p.m.