Triple
T233301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nazi Party officials |
E4453
|
entity |
| Predicate | legalStatusAfter1945 |
P5141
|
FINISHED |
| Object | subject to war crimes trials |
—
|
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: subject to war crimes trials | Statement: [Nazi Party officials, legalStatusAfter1945, subject to war crimes trials]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalStatusAfter1945 Context triple: [Nazi Party officials, legalStatusAfter1945, subject to war crimes trials]
-
A.
legalStatusAfterWar
Indicates the legal condition or classification assigned to an entity as a consequence of, or following the conclusion of, a war or armed conflict.
-
B.
statusAfterWWII
chosen
Indicates the condition, role, or classification an entity had following the end of World War II.
-
C.
statusAfter1956
Indicates the status or condition of an entity as it existed at any time after the year 1956.
-
D.
legalStatusInNaziView
Indicates the legal classification or standing an entity was assigned under Nazi ideology and law.
-
E.
postWarOccupation
Indicates that one entity occupied, administered, or controlled another entity or territory in the period following a war.
- 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_69a257363ffc81909757bde7ab3404da |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25f14f72081908182e76300b59358 |
completed | Feb. 28, 2026, 3:20 a.m. |
| PD | Predicate disambiguation | batch_69a25b5c8c888190b5544e687736b373 |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.