Triple
T20821316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Operation Vistula |
E512578
|
entity |
| Predicate | numberOfDeportedPersons |
P31406
|
FINISHED |
| Object | about 140000 |
—
|
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: about 140000 | Statement: [Operation Vistula, numberOfDeportedPersons, about 140000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfDeportedPersons Context triple: [Operation Vistula, numberOfDeportedPersons, about 140000]
-
A.
deportedPopulation
Indicates that a group of people was forcibly removed and sent out of a territory or country, typically by an authority or government.
-
B.
estimatedNumberOfPeopleDeported
chosen
Indicates the approximate count of individuals who were forcibly removed or expelled from a place or country.
-
C.
numberOfChildrenDeported
Indicates the count of children who have been forcibly removed and sent away from their home or country.
-
D.
deportedUnder
Indicates that an entity was deported in accordance with, or by authority of, a specific law, policy, program, or legal provision.
-
E.
deportedTo
Indicates that an authority forcibly removed a person from one place or country and sent them to another specified destination.
- 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_69e0b4ce39108190a6e8e5df4f1c8dc5 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2f7a1548190b6ef3f1cfad37c1c |
completed | April 21, 2026, 12:21 a.m. |
| PD | Predicate disambiguation | batch_69e5c99ca55481908e8d434fa901cfd6 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:41 p.m.