Triple
T2581325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ladoga Karelia |
E57096
|
entity |
| Predicate | populationMovement |
P19590
|
FINISHED |
| Object | evacuation of Finnish population to inner Finland |
—
|
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: evacuation of Finnish population to inner Finland | Statement: [Ladoga Karelia, populationMovement, evacuation of Finnish population to inner Finland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationMovement Context triple: [Ladoga Karelia, populationMovement, evacuation of Finnish population to inner Finland]
-
A.
historicalPopulationMovement
chosen
Indicates the movement or migration of a population from one place to another during a specific historical period or event.
-
B.
population
Indicates the total number of individuals living in or present within a specified area or group.
-
C.
estimatedEmigrants
Indicates the estimated number of people who have left a place or country to live elsewhere.
-
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_69ab4a4dca6481908c301f8e317396e7 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd3c843bc8190837cea3441bf3ca1 |
completed | March 7, 2026, 7:29 a.m. |
| PD | Predicate disambiguation | batch_69abd0cfeae08190aed03866ba071c5c |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:49 p.m.