Triple
T1871739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lebensraum |
E39049
|
entity |
| Predicate | historicalConsequence |
P1421
|
FINISHED |
| Object | mass displacement of civilian populations |
—
|
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: mass displacement of civilian populations | Statement: [Lebensraum, historicalConsequence, mass displacement of civilian populations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalConsequence Context triple: [Lebensraum, historicalConsequence, mass displacement of civilian populations]
-
A.
historicalImpact
Indicates the influence or lasting effects that an entity, event, or action has had on subsequent history or historical developments.
-
B.
historicalCondition
Indicates that one entity represents a condition, state, or circumstance that applied to another entity at some point in the past.
-
C.
historicalReason
Indicates that one entity exists, occurs, or is justified because of causes, events, or circumstances rooted in the past of another entity.
-
D.
historicalOutcome
chosen
Indicates the result or consequence that an event, action, or situation produced in a historical context.
-
E.
historicalContinuity
Indicates that a relationship, pattern, or state persists over time in a way that links past conditions or events to present ones without significant interruption or change.
- 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_69a8862f7074819096afe7fe65e179e9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb0f79fbc819085c54f3189a552d9 |
completed | March 7, 2026, 5 a.m. |
| PD | Predicate disambiguation | batch_69abafe2b56c81909e13d543982e6e13 |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:34 p.m.