Triple
T31663726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rudolf Dreikurs |
E808069
|
entity |
| Predicate | causeOfRelocation |
P3057
|
FINISHED |
| Object | rise of Nazism in Europe |
—
|
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: rise of Nazism in Europe | Statement: [Rudolf Dreikurs, causeOfRelocation, rise of Nazism in Europe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: causeOfRelocation Context triple: [Rudolf Dreikurs, causeOfRelocation, rise of Nazism in Europe]
-
A.
reasonForRelocation
chosen
Indicates the underlying cause, motivation, or circumstance that led an entity to move from one location to another.
-
B.
displacementCause
Indicates a causal relationship where one entity is responsible for the displacement or forced movement of another entity from its original location or situation.
-
C.
influencedRelocationOf
Indicates that one entity played a causal or motivating role in another entity’s decision or action to move from one location to another.
-
D.
migrationCause
Indicates the reason or driving factor that leads an entity to migrate from one place to another.
-
E.
relocatedDuring
Indicates that an entity changed its location or place of residence within the time span of a specified event or period.
- 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_69f348dbeef4819080b446a7feb6340b |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f7b2f3a104819098ddd8909eaf596c |
completed | May 3, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69f7b1b8a9fc8190a1279e67a2d12707 |
completed | May 3, 2026, 8:36 p.m. |
Created at: April 30, 2026, 10:58 p.m.