Triple
T26221085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | German minority in Poland |
E655764
|
entity |
| Predicate | populationCensus1990s |
P167744
|
FINISHED |
| Object | over 300000 declared German nationality |
—
|
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: over 300000 declared German nationality | Statement: [German minority in Poland, populationCensus1990s, over 300000 declared German nationality]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationCensus1990s Context triple: [German minority in Poland, populationCensus1990s, over 300000 declared German nationality]
-
A.
population_1989Census
Indicates the population count of an entity as recorded in the 1989 census.
-
B.
statusIn1990
Indicates the status or condition that an entity had specifically in the year 1990.
-
C.
keyPopulation
Indicates that the referenced entity belongs to a specific key population group that is of particular importance or priority in a given context (e.g., public health, policy, or services).
-
D.
populationCensus2021
Indicates that a population count or demographic data is recorded as part of the 2021 census.
-
E.
populationDataSource
Indicates the source or origin from which population data has been obtained or derived.
- F. None of above. chosen
Provenance (4 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_69ee5b4a77e08190bfcb5f8ecdc55abd |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f66cf092c881908d7034c9c2bc61d5 |
completed | May 2, 2026, 9:30 p.m. |
| PD | Predicate disambiguation | batch_69f66abddc448190a488852f8abdeb2c |
completed | May 2, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69f66c59de9881909ebbb7b0ae7ab495 |
completed | May 2, 2026, 9:27 p.m. |
Created at: April 26, 2026, 8:56 p.m.