Triple

T29839325
Position Surface form Disambiguated ID Type / Status
Subject The Greek Passion E757740 entity
Predicate secondVersionLanguage P116129 FINISHED
Object Czech 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: Czech | Statement: [The Greek Passion, secondVersionLanguage, Czech]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: secondVersionLanguage
Context triple: [The Greek Passion, secondVersionLanguage, Czech]
  • A. secondEditionLanguage chosen
    Indicates that a work’s second edition is written in or associated with a particular language.
  • B. secondVersion
    Indicates that one entity is a later or updated second version of another entity.
  • C. secondaryLanguageContext
    Indicates that the associated information, interaction, or content occurs within or is tailored to a secondary (non-primary) language setting or usage context.
  • D. secondaryLanguageSupport
    Indicates that an entity provides assistance, services, or functionality in an additional (non-primary) language.
  • E. secondVariant
    Indicates that one entity is a second or alternative version/variant of another entity.
  • 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_69f224593f6c81908785a560fe659f58 completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69fd7e364a648190a1e9e1d9fc76e99e completed May 8, 2026, 6:09 a.m.
PD Predicate disambiguation batch_69fd7bb547608190a3b04dddbca6b8bc completed May 8, 2026, 5:59 a.m.
Created at: April 29, 2026, 5:38 p.m.