Triple

T30875958
Position Surface form Disambiguated ID Type / Status
Subject Omni E786475 entity
Predicate scripturalAbbreviation P123091 FINISHED
Object Omni NE NERFINISHED

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: Omni | Statement: [Omni, scripturalAbbreviation, Omni]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: scripturalAbbreviation
Context triple: [Omni, scripturalAbbreviation, Omni]
  • A. abbreviationScript chosen
    Indicates that one entity is an abbreviated form of another entity written in a specific script or writing system.
  • B. scripturalAllusion
    Indicates that one entity references, echoes, or draws upon content, themes, or language from a scriptural or sacred text in relation to another entity.
  • C. scriptureAllusion
    Indicates that one entity makes reference to, echoes, or is inspired by a passage, theme, or element from a scriptural text found in another entity.
  • D. scripturalCorpus
    Indicates that one entity is a body of scriptural or sacred texts associated with, or serving as the canonical writings for, another entity.
  • E. scripturalReference
    Indicates that one entity cites, alludes to, or is based on a specific passage or portion of a scriptural text found in 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_69f224bae17c8190bb3a6a28e3d019df completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f7465687bc8190a9da44d62b634ed7 completed May 3, 2026, 12:57 p.m.
PD Predicate disambiguation batch_69f743f4ceb08190a21fe7f4a99b166b completed May 3, 2026, 12:47 p.m.
Created at: April 29, 2026, 8:48 p.m.