Triple

T10962780
Position Surface form Disambiguated ID Type / Status
Subject A Song of Faith (2006) E259016 entity
Predicate relationToOtherDocuments P19741 FINISHED
Object complements the Basis of Union of the United Church of Canada 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: complements the Basis of Union of the United Church of Canada | Statement: [A Song of Faith (2006), relationToOtherDocuments, complements the Basis of Union of the United Church of Canada]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: relationToOtherDocuments
Context triple: [A Song of Faith (2006), relationToOtherDocuments, complements the Basis of Union of the United Church of Canada]
  • A. linkedDocument chosen
    Indicates that one document is associated with or references another document in a meaningful way.
  • B. subjectRelation
    Indicates that one entity stands in a specified relational role or connection to another entity.
  • C. relatedTo
    Indicates a general, non-specific relationship or association exists between two entities.
  • D. relatedField
    Indicates that one field, topic, or area of study is connected or relevant to another in subject matter or application.
  • E. laterRelationWith
    Indicates that one entity stands in a temporal relationship to another such that it occurs or exists at a later time than the other.
  • 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_69d6aa88500c819097d7032ca578e74f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7714714c88190926ebd48b09150c6 completed April 9, 2026, 9:28 a.m.
PD Predicate disambiguation batch_69d72e8c27cc81908050590b7a04cafd completed April 9, 2026, 4:43 a.m.
Created at: April 8, 2026, 9:23 p.m.