Triple
T128161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kristallnacht |
E2594
|
entity |
| Predicate | numberOfJewsDeportedToConcentrationCamps |
P5136
|
FINISHED |
| Object | about 30000 |
—
|
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 30000 | Statement: [Kristallnacht, numberOfJewsDeportedToConcentrationCamps, about 30000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfJewsDeportedToConcentrationCamps Context triple: [Kristallnacht, numberOfJewsDeportedToConcentrationCamps, about 30000]
-
A.
estimatedNumberOfSurvivorsAtLiberation
Indicates the approximate count of individuals who were still alive at the time a camp or similar site was liberated.
-
B.
LiberationOfAuschwitz
Indicates the act or event of freeing prisoners and ending Nazi control at the Auschwitz concentration camp.
-
C.
numberOfPeopleExecuted
Indicates the total count of individuals who were put to death, typically as a result of a formal execution process.
-
D.
persecutedDuring
Indicates that one entity systematically harassed, oppressed, or victimized another entity during a specified time period or event.
-
E.
legalStatusInNaziView
Indicates the legal classification or standing an entity was assigned under Nazi ideology and law.
- 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_69a2520c0f3481908b0ed054a2fca8d0 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a25763ccf8819094e8dffb2ff98480 |
completed | Feb. 28, 2026, 2:48 a.m. |
| PD | Predicate disambiguation | batch_69a2564da96c8190aa8204de25229c15 |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a256c72f6c81909b619b90d829d86e |
completed | Feb. 28, 2026, 2:45 a.m. |
Created at: Feb. 28, 2026, 2:30 a.m.