Triple

T11579867
Position Surface form Disambiguated ID Type / Status
Subject Lord of Heaven E274596 entity
Predicate theologicalRoleImplied P9873 FINISHED
Object ruler of the heavens 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: ruler of the heavens | Statement: [Lord of Heaven, theologicalRoleImplied, ruler of the heavens]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: theologicalRoleImplied
Context triple: [Lord of Heaven, theologicalRoleImplied, ruler of the heavens]
  • A. theologicalRole chosen
    Indicates a relationship where an entity holds or is assigned a specific function, office, or status within a theological or religious framework.
  • B. religiousTextRole
    Indicates the specific role or function that a religious text has in relation to a person, group, practice, or tradition.
  • C. theologicalCategory
    Indicates the classification of something according to a particular theological type, tradition, or doctrinal category.
  • D. associatedTheologian
    Indicates a relationship where a theologian is connected or linked to a particular subject, work, institution, or context.
  • E. ecclesiasticalRole
    Indicates that one entity holds or is assigned a specific religious or church-related office, function, or position in relation to 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_69d6aae5ac3c81908d2b0a3a665665b2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8904b46288190890ecafd6ceb0c3d completed April 10, 2026, 5:53 a.m.
PD Predicate disambiguation batch_69d85dcbacd0819094d4a1237055affa completed April 10, 2026, 2:17 a.m.
Created at: April 8, 2026, 9:38 p.m.