Triple
T14067492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siebenbürger Sachsen |
E338511
|
entity |
| Predicate | majorDemographicEvent |
P46033
|
FINISHED |
| Object | mass emigration to Germany after World War II |
—
|
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 emigration to Germany after World War II | Statement: [Siebenbürger Sachsen, majorDemographicEvent, mass emigration to Germany after World War II]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorDemographicEvent Context triple: [Siebenbürger Sachsen, majorDemographicEvent, mass emigration to Germany after World War II]
-
A.
demographicImpact
Indicates how an action, event, or condition affects the size, structure, or composition of a population.
-
B.
populationEvent
chosen
Indicates an event or occurrence that causes a change in the size, composition, or distribution of a population.
-
C.
significantEvent
Indicates that an event involving the entities is of notable importance or impact within a given context.
-
D.
historicalPopulationMovement
Indicates the movement or migration of a population from one place to another during a specific historical period or event.
-
E.
demographics
Indicates the relationship of providing or characterizing statistical information about a population’s attributes, such as age, gender, income, or education.
- 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_69d81c67ba6c819091935650dfb3b895 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de568b81f08190a571004261c0e8e4 |
completed | April 14, 2026, 3 p.m. |
| PD | Predicate disambiguation | batch_69de05adef888190b023ab42ef5076b6 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:21 p.m.