Triple
T2628680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banat Swabians |
E59180
|
entity |
| Predicate | populationDeclineCausedBy |
P21041
|
FINISHED |
| Object | emigration to 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: emigration to Germany | Statement: [Banat Swabians, populationDeclineCausedBy, emigration to Germany]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationDeclineCausedBy Context triple: [Banat Swabians, populationDeclineCausedBy, emigration to Germany]
-
A.
reducedPopulationOf
chosen
Indicates a relationship where one entity has caused a decrease in the size or number of individuals in a population of another entity.
-
B.
extinctionReason
Indicates the cause or factor responsible for an entity’s extinction.
-
C.
demographicImpact
Indicates how an action, event, or condition affects the size, structure, or composition of a population.
-
D.
populationIncrease
Indicates that the number of individuals in a population has grown over a specified period of time.
-
E.
populationScale
Indicates the relative size or magnitude of a population, typically categorizing it into broad scale levels (e.g., small, medium, large).
- 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_69ab4ac558388190962492cd2e1b0ce6 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abdb0e7b888190bfa5d2e33f00ec0f |
completed | March 7, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69abd810d7f481908e81c305772c4c14 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:50 p.m.