Triple

T30419947
Position Surface form Disambiguated ID Type / Status
Subject Dutch Reformed Mission Church E773873 entity
Predicate adoptedConfession P93809 FINISHED
Object Belhar Confession NE NERFINISHED

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: Belhar Confession | Statement: [Dutch Reformed Mission Church, adoptedConfession, Belhar Confession]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: adoptedConfession
Context triple: [Dutch Reformed Mission Church, adoptedConfession, Belhar Confession]
  • A. confessionAdopted chosen
    Indicates that a formal confession, statement, or belief has been officially accepted and taken up by an individual or group.
  • B. acceptsConfession
    Indicates that one entity receives and acknowledges a confession made by another entity.
  • C. confession
    Indicates that one entity admits or discloses information, typically acknowledging guilt, responsibility, or a hidden truth, to another entity.
  • D. associatedConfession
    Indicates a relationship where one entity is linked to a specific confession, admission, or statement acknowledging guilt or responsibility.
  • E. usesConfession
    Indicates that one entity employs or relies on a confession (typically an admission of guilt or wrongdoing) as part of its actions or reasoning toward another entity or outcome.
  • 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_69f22491ba248190b9a4776ca8e42d02 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f6a916d2e08190bafc01cba73b6469 completed May 3, 2026, 1:47 a.m.
PD Predicate disambiguation batch_69f6a7548eb48190a69b60a3c6ad53b9 completed May 3, 2026, 1:39 a.m.
Created at: April 29, 2026, 8:05 p.m.