Triple

T5955425
Position Surface form Disambiguated ID Type / Status
Subject Psalm 84 E132500 entity
Predicate scriptureCitationFormat P67049 FINISHED
Object Ps 84 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: Ps 84 | Statement: [Psalm 84, scriptureCitationFormat, Ps 84]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: scriptureCitationFormat
Context triple: [Psalm 84, scriptureCitationFormat, Ps 84]
  • A. scriptureFor
    Indicates that one entity serves as a scriptural or authoritative religious text for another entity (such as a person, group, or belief system).
  • B. scriptureType
    Indicates the classification or category of a scripture in relation to its type or genre.
  • C. recognizesScripturesFrom
    Indicates that one entity acknowledges or accepts certain scriptures as authoritative or valid based on another entity as their source or origin.
  • D. canonizedScriptureIn
    Indicates that a text or scripture has been formally recognized and included as canonical within a particular religious tradition, community, or collection.
  • E. scripturalCorpus
    Indicates that one entity is a body of scriptural or sacred texts associated with, or serving as the canonical writings for, another entity.
  • 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_69c0086b05cc8190a8f36a96927a525c completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c03fb7f8a88190a8bd45208bda4a03 completed March 22, 2026, 7:15 p.m.
PD Predicate disambiguation batch_69c0335a635881909c58c1ef0f97f1e8 completed March 22, 2026, 6:22 p.m.
PDg Predicate description generation batch_69c03fb6bb7c81909c5629fba408dc69 completed March 22, 2026, 7:15 p.m.
Created at: March 22, 2026, 4:02 p.m.