Triple
T5892013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | German occupation of Belgium during World War II |
E131011
|
entity |
| Predicate | numberOfBelgianJewsDeported |
P53568
|
FINISHED |
| Object | approximately 25000 |
—
|
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: approximately 25000 | Statement: [German occupation of Belgium during World War II, numberOfBelgianJewsDeported, approximately 25000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfBelgianJewsDeported Context triple: [German occupation of Belgium during World War II, numberOfBelgianJewsDeported, approximately 25000]
-
A.
numberOfJewsDeportedToConcentrationCamps
Indicates the number of Jewish individuals who were forcibly taken and sent to concentration camps.
-
B.
numberOfJewsKilled
Indicates the quantity of Jewish people who were killed in a given event, context, or time period.
-
C.
numberOfVictimsFromBelgium
chosen
Indicates the count of victims whose origin or nationality is Belgium.
-
D.
estimatedNumberOfPeopleDeported
Indicates the approximate count of individuals who were forcibly removed or expelled from a place or country.
-
E.
deportationsOccurredIn
Indicates that one or more deportation events took place within a specified location or jurisdiction.
- 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_69c00857439c819095950754176aa58a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03fe07b7081909f8577ec3a9a1a8d |
completed | March 22, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69c0334bdc308190ad0d7199ab975588 |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 3:58 p.m.