Triple
T2692013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Transylvanian Saxons |
E58423
|
entity |
| Predicate | demographicTrend20thCentury |
P3838
|
FINISHED |
| Object | strong 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: strong emigration to Germany | Statement: [Transylvanian Saxons, demographicTrend20thCentury, strong emigration to Germany]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: demographicTrend20thCentury Context triple: [Transylvanian Saxons, demographicTrend20thCentury, strong emigration to Germany]
-
A.
statusIn20thCentury
Indicates that an entity held a particular status, condition, or classification specifically during the 20th century.
-
B.
functionDuring20thCentury
Indicates that the function, role, or operation of one entity with respect to another occurred at some time during the 20th century.
-
C.
experiencedRapidGrowthInCentury
Indicates that the entity underwent a significant and swift increase or expansion during the specified century.
-
D.
demographicImpact
chosen
Indicates how an action, event, or condition affects the size, structure, or composition of a population.
-
E.
century
Indicates that an entity is associated with, occurs in, or belongs to a particular 100-year time 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_69ab4ac269e481909cb317d79e68b75b |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda0dd97c81909a60cf200f57c087 |
completed | March 7, 2026, 7:55 a.m. |
| PD | Predicate disambiguation | batch_69abd81ea5d88190ab5c8f8b8064b931 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:54 p.m.