Triple

T6312847
Position Surface form Disambiguated ID Type / Status
Subject Judenrat of Kraków E141544 entity
Predicate aimedAtBy P69992 FINISHED
Object German policy of exploitation of Jewish labor 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: German policy of exploitation of Jewish labor | Statement: [Judenrat of Kraków, aimedAtBy, German policy of exploitation of Jewish labor]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: aimedAtBy
Context triple: [Judenrat of Kraków, aimedAtBy, German policy of exploitation of Jewish labor]
  • A. aimOf
    Indicates that one entity serves as the goal, purpose, or intended target of another entity’s action, plan, or existence.
  • B. targetedBecauseOf
    Indicates that one entity is made a target of an action, harm, or scrutiny specifically due to possessing a particular attribute, identity, or characteristic.
  • C. target
    Indicates that one entity is the intended object, goal, or focus of another entity’s action or attention.
  • D. intendedTargets
    Indicates that an action, message, or object is specifically directed toward or meant to affect particular target entities.
  • E. usesTarget
    Indicates that one entity employs, applies, or operates on another entity as its target or object of action.
  • 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_69c008d00efc8190a36c05b4b4a3bf4b completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0649ea98c819086509e175812c6c0 completed March 22, 2026, 9:52 p.m.
PD Predicate disambiguation batch_69c060e311b48190b1c74a5cf9435623 completed March 22, 2026, 9:36 p.m.
PDg Predicate description generation batch_69c0623bb29081908bfdfb84a07ece90 completed March 22, 2026, 9:42 p.m.
Created at: March 22, 2026, 4:28 p.m.