Triple

T12865583
Position Surface form Disambiguated ID Type / Status
Subject Anglican bishops E307710 entity
Predicate haveRank P90523 FINISHED
Object senior clergy 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: senior clergy | Statement: [Anglican bishops, haveRank, senior clergy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: haveRank
Context triple: [Anglican bishops, haveRank, senior clergy]
  • A. hasRankCategory
    Indicates that an entity is assigned to a particular rank-based classification or level within an ordered hierarchy.
  • B. containsRank
    Indicates that one entity includes or encompasses another entity that has a specific rank or hierarchical level within it.
  • C. hasRankContext
    Indicates that an entity’s rank or ordering is defined, interpreted, or constrained within a specific contextual framework or situation.
  • D. hasRankOrTitle chosen
    Indicates that an entity holds, is assigned, or is associated with a specific rank, title, or formal designation.
  • E. isRank
    Indicates that one entity serves as the rank, level, or hierarchical position associated with 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9714208f881908f7f8a921362909a completed April 10, 2026, 9:53 p.m.
PD Predicate disambiguation batch_69d96fa3002881908000357b1f95a3ac completed April 10, 2026, 9:46 p.m.
Created at: April 9, 2026, 5:37 p.m.