Triple

T17997000
Position Surface form Disambiguated ID Type / Status
Subject Nejsme jako oni E430527 entity
Predicate meaningGeneral P86032 FINISHED
Object We reject the practices and morals of the former regime 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: We reject the practices and morals of the former regime | Statement: [Nejsme jako oni, meaningGeneral, We reject the practices and morals of the former regime]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: meaningGeneral
Context triple: [Nejsme jako oni, meaningGeneral, We reject the practices and morals of the former regime]
  • A. commonMeaning
    Indicates that multiple entities share the same or very similar meaning or semantic interpretation.
  • B. basicMeaning
    Indicates that one entity expresses or conveys the fundamental or core meaning of another entity.
  • C. logicalMeaning
    Indicates that one entity expresses, encodes, or conveys the logical content, implication, or formal meaning of another.
  • D. overallMeaning chosen
    Indicates the general or overarching significance, interpretation, or message conveyed by something as a whole.
  • E. meaningInContext
    Indicates that one entity represents or conveys a particular meaning, interpretation, or sense within a specific context or situation.
  • 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_69d8b90364248190a37381adea932f42 completed April 10, 2026, 8:46 a.m.
NER Named-entity recognition batch_69e4b3e5c63c8190890436366c4a47c5 completed April 19, 2026, 10:52 a.m.
PD Predicate disambiguation batch_69e3f90039e4819080527f860dca042e completed April 18, 2026, 9:34 p.m.
Created at: April 10, 2026, 10:23 a.m.