Triple

T5260468
Position Surface form Disambiguated ID Type / Status
Subject Raguel E118809 entity
Predicate angelicRank P62589 FINISHED
Object high-ranking angel 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: high-ranking angel | Statement: [Raguel, angelicRank, high-ranking angel]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: angelicRank
Context triple: [Raguel, angelicRank, high-ranking angel]
  • A. ecclesiasticalRank
    Indicates the hierarchical religious office or clerical status that one entity holds within a church or ecclesiastical organization.
  • B. hasLiturgicalRank
    Indicates that an entity is assigned a specific status or level within a liturgical or religious ceremonial hierarchy.
  • C. revelationAngel
    Indicates that an angel is the one who delivers or mediates a divine revelation to someone or about something.
  • D. ecclesiasticalRankRelative
    Indicates a hierarchical relationship between two ecclesiastical positions, specifying which rank is higher, lower, or otherwise ordered relative to the other within a church structure.
  • E. associatedWithArchangelName
    Indicates that something has a connection or linkage to a specific archangel’s name.
  • 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_69bd446a42c88190b7ecbef006561d55 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7bcf026c8190881b6e14b962a3c9 completed March 20, 2026, 4:54 p.m.
PD Predicate disambiguation batch_69bd77c55224819096c0bcfcfae79bd3 completed March 20, 2026, 4:37 p.m.
PDg Predicate description generation batch_69bd7bcabe58819096255672664513b1 completed March 20, 2026, 4:54 p.m.
Created at: March 20, 2026, 1:50 p.m.