Triple
T4336676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polish Jews |
E97479
|
entity |
| Predicate | populationBeforeWorldWarIIShareOfPoland |
P41803
|
FINISHED |
| Object | about 10 percent |
—
|
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 10 percent | Statement: [Polish Jews, populationBeforeWorldWarIIShareOfPoland, about 10 percent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationBeforeWorldWarIIShareOfPoland Context triple: [Polish Jews, populationBeforeWorldWarIIShareOfPoland, about 10 percent]
-
A.
PolishCasualties
Indicates the number or extent of casualties suffered by Polish forces or population in a given conflict or event.
-
B.
preWorldWarIIPopulationEstimate
chosen
Indicates an estimated value for an entity’s population during the period before the start of World War II.
-
C.
hadSignificantJewishPopulationBeforeWorldWarII
Indicates that the subject place or region had a notably large or influential Jewish community prior to the outbreak of World War II.
-
D.
percentageDestroyedInWWIIApproximate
Indicates the approximate proportion of something that was destroyed during World War II.
-
E.
preWarOccupation
Indicates the occupation or role a person held before a specific war or armed conflict.
- 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_69b3454662a481908fbcd0bbfaa3a0a4 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3516af43081908393fd0dad3d9382 |
completed | March 12, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69b34f4e13fc8190a42c519f37959d27 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:14 p.m.