Triple

T37826609
Position Surface form Disambiguated ID Type / Status
Subject United Church of Christ conferences E943076 entity
Predicate subdivideInto P122949 FINISHED
Object associations 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: associations | Statement: [United Church of Christ conferences, subdivideInto, associations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: subdivideInto
Context triple: [United Church of Christ conferences, subdivideInto, associations]
  • A. subdividedBy
    Indicates that something is divided into smaller parts or sections by another entity or criterion.
  • B. parallelSubdivision
    Indicates that one structure or process is divided into multiple parts that proceed or are handled simultaneously alongside each other.
  • C. subdivisionFactor
    Indicates how many smaller parts or segments a whole entity is divided into within a given context.
  • D. isSubdividedAs chosen
    Indicates that something is divided into smaller parts, sections, or units that together constitute its subdivision structure.
  • E. isSubdividedFrom
    Indicates that one entity represents a subdivision or derived part that has been split off from 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_69f76eea4c8c8190a335aed5955cf2db completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fbbae559a8819086ef839973f8d9b2 completed May 6, 2026, 10:04 p.m.
PD Predicate disambiguation batch_69fbb1440fa08190abf25ba684f75b6e completed May 6, 2026, 9:23 p.m.
Created at: May 3, 2026, 4:19 p.m.