Triple
T141308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World War I |
E2855
|
entity |
| Predicate | longTermConsequence |
P812
|
FINISHED |
| Object | conditions contributing to the rise of Nazism in Germany |
—
|
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: conditions contributing to the rise of Nazism in Germany | Statement: [World War I, longTermConsequence, conditions contributing to the rise of Nazism in Germany]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: longTermConsequence Context triple: [World War I, longTermConsequence, conditions contributing to the rise of Nazism in Germany]
-
A.
hasConsequence
chosen
Indicates that one event, action, or condition leads to or results in another as its outcome or effect.
-
B.
causeOf
Indicates that one entity brings about, produces, or is responsible for the occurrence or existence of another entity or event.
-
C.
after
Indicates that one event, state, or action occurs later in time than another, following it in temporal order.
-
D.
thirteenthPlanAffectedBy
Indicates that the thirteenth plan is influenced, changed, or impacted as a result of the referenced entity or factor.
-
E.
subsequentConflict
Indicates that one conflict occurs after and is temporally subsequent to another conflict.
- 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_69a2521e35c08190b28e5c9f1e3c9b59 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a2580ca15481909fa3e87d804a1b23 |
completed | Feb. 28, 2026, 2:50 a.m. |
| PD | Predicate disambiguation | batch_69a2565559ac81909e0c4e095a7dfa27 |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.