Triple

T853987
Position Surface form Disambiguated ID Type / Status
Subject Christian Church (Disciples of Christ) E18448 entity
Predicate stanceOnWomenInMinistry P20635 FINISHED
Object supports women’s ordination 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: supports women’s ordination | Statement: [Christian Church (Disciples of Christ), stanceOnWomenInMinistry, supports women’s ordination]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: stanceOnWomenInMinistry
Context triple: [Christian Church (Disciples of Christ), stanceOnWomenInMinistry, supports women’s ordination]
  • A. ministry
    Indicates that an entity serves as a governmental ministry responsible for specific public functions or policy areas in relation to another entity.
  • B. hadWomenOrganization
    Indicates that an entity was associated with or involved in an organization focused on women or women’s issues.
  • C. hasMediaMinistry
    Indicates that an entity operates, oversees, or is associated with a ministry or department responsible for media-related affairs.
  • D. typeOfMinistry
    Indicates the specific category or kind of ministry that an entity belongs to or represents.
  • E. formerGenderAdmission
    Indicates that an institution previously admitted a particular gender but no longer does so.
  • 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_69a4938bdd3c8190a954a3c11844d9cf completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac389a44819093396a58d2afa700 completed March 1, 2026, 9:14 p.m.
PD Predicate disambiguation batch_69a4aa81ef348190b067f817574e9efe completed March 1, 2026, 9:07 p.m.
PDg Predicate description generation batch_69a4ab4893e481908632102d240466dc completed March 1, 2026, 9:10 p.m.
Created at: March 1, 2026, 7:39 p.m.