Triple

T24922204
Position Surface form Disambiguated ID Type / Status
Subject Deuteronomy 32 E618758 entity
Predicate closingSectionIncludes P16926 FINISHED
Object Moses' exhortation to take the words to heart 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: Moses' exhortation to take the words to heart | Statement: [Deuteronomy 32, closingSectionIncludes, Moses' exhortation to take the words to heart]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: closingSectionIncludes
Context triple: [Deuteronomy 32, closingSectionIncludes, Moses' exhortation to take the words to heart]
  • A. closingSection chosen
    Indicates that one entity serves as the concluding or final section of another entity (such as a document, event, or structured sequence).
  • B. closedSection
    Indicates that a particular section, area, or segment is not open or accessible for use, passage, or interaction.
  • C. closingContains
    Indicates that one closing element, event, or period fully includes another within its temporal or structural bounds.
  • D. closingSectionCharacter
    Indicates that one character functions as the closing or terminating symbol for a particular section or block of content in relation to another element.
  • E. closingNarrationBy
    Indicates that a particular entity serves as the narrator delivering the closing or final narration of a work or segment.
  • 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_69e2fab9edd88190b86004a78a28bc20 completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f423919c248190b87446ae2043f15a completed May 1, 2026, 3:52 a.m.
PD Predicate disambiguation batch_69f4210130d08190ae30b7943f7a0bbc completed May 1, 2026, 3:41 a.m.
Created at: April 18, 2026, 5:29 a.m.