Triple
T24013370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holocaust in Lithuania |
E594599
|
entity |
| Predicate | proportionOfJewishPopulationKilled |
P44863
|
FINISHED |
| Object | about 90 to 95 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 90 to 95 percent | Statement: [Holocaust in Lithuania, proportionOfJewishPopulationKilled, about 90 to 95 percent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: proportionOfJewishPopulationKilled Context triple: [Holocaust in Lithuania, proportionOfJewishPopulationKilled, about 90 to 95 percent]
-
A.
percentageOfJewishPopulationKilled
chosen
Indicates the proportion of a Jewish population that was killed, expressed as a percentage of the total.
-
B.
numberOfJewsKilled
Indicates the quantity of Jewish people who were killed in a given event, context, or time period.
-
C.
numberOfJewsDeportedToConcentrationCamps
Indicates the number of Jewish individuals who were forcibly taken and sent to concentration camps.
-
D.
numberOfJewsSaved
Indicates the quantity of Jewish individuals who were rescued or preserved from harm, danger, or persecution in a given context.
-
E.
estimatedPrisonersKilled
Indicates the estimated number of prisoners who were killed in a given context or event.
- 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_69e288bc8f608190ac4af29f0bd1c744 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d59ee0a08190ad1e1bc2dad1dda7 |
completed | April 29, 2026, 9:55 a.m. |
| PD | Predicate disambiguation | batch_69f17639d23c8190bed93434e2f9230a |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 9:41 p.m.