Triple
T2888905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sudeten Germans |
E59571
|
entity |
| Predicate | numberExpelledEstimate |
P31406
|
FINISHED |
| Object | about 2.5 to 3 million |
—
|
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 2.5 to 3 million | Statement: [Sudeten Germans, numberExpelledEstimate, about 2.5 to 3 million]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberExpelledEstimate Context triple: [Sudeten Germans, numberExpelledEstimate, about 2.5 to 3 million]
-
A.
estimatedNumberEmancipated
Indicates the estimated count of individuals who have been emancipated.
-
B.
expelledFrom
Indicates that an entity has been formally forced to leave or is removed from a place, organization, or institution, typically as a punishment or disciplinary action.
-
C.
estimatedPrisoners
Indicates a relationship where a value represents the estimated number of prisoners associated with a particular entity or context.
-
D.
estimatedEmigrants
Indicates the estimated number of people who have left a place or country to live elsewhere.
-
E.
estimatedNumberOfPeopleDeported
chosen
Indicates the approximate count of individuals who were forcibly removed or expelled from a place or country.
- 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_69ab4ac739188190a112f42a5a69c951 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abe04918908190aad08defd1b26d97 |
completed | March 7, 2026, 8:22 a.m. |
| PD | Predicate disambiguation | batch_69abdd17bcdc8190aa47274a50ba4ad4 |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:04 p.m.