Triple

T3710493
Position Surface form Disambiguated ID Type / Status
Subject Oskar Schindler E81398 entity
Predicate numberOfJewsSaved P50947 FINISHED
Object over 1,000 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 1,000 | Statement: [Oskar Schindler, numberOfJewsSaved, over 1,000]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: numberOfJewsSaved
Context triple: [Oskar Schindler, numberOfJewsSaved, over 1,000]
  • A. numberOfJewsKilled
    Indicates the quantity of Jewish people who were killed in a given event, context, or time period.
  • B. numberOfJewsDeportedToConcentrationCamps
    Indicates the number of Jewish individuals who were forcibly taken and sent to concentration camps.
  • C. numberOfJewsArrested
    Indicates the quantity of Jewish individuals who were apprehended or taken into custody in a given event or context.
  • D. LiberationOfAuschwitz
    Indicates the act or event of freeing prisoners and ending Nazi control at the Auschwitz concentration camp.
  • E. numberOfGermanVictims
    Indicates the quantity of victims who are identified as German in the context of the described event or situation.
  • 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_69ad8b1a81588190b3f27a5483bb610e completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adc584b86c8190ba1a1073da440b07 completed March 8, 2026, 6:52 p.m.
PD Predicate disambiguation batch_69adc041a8608190a2d543dab6d2ef6c completed March 8, 2026, 6:30 p.m.
PDg Predicate description generation batch_69adc133ef50819094c2b971f31f1615 completed March 8, 2026, 6:34 p.m.
Created at: March 8, 2026, 3:33 p.m.