Triple

T2214024
Position Surface form Disambiguated ID Type / Status
Subject Second Helvetic Confession E50981 entity
Predicate numberOfSacraments P1110 FINISHED
Object 2 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: 2 | Statement: [Second Helvetic Confession, numberOfSacraments, 2]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: numberOfSacraments
Context triple: [Second Helvetic Confession, numberOfSacraments, 2]
  • A. sacramentNumber chosen
    Indicates the specific ordinal position or count assigned to a sacrament within a defined set or sequence of sacraments.
  • B. includesSacrament
    Indicates that one entity contains, involves, or incorporates a sacramental rite or practice as part of itself or its activities.
  • C. recognizesSacrament
    Indicates that one entity formally accepts or acknowledges the validity or legitimacy of a particular sacrament associated with another entity.
  • D. principalSacrament
    Indicates that one sacrament holds primary or highest importance in relation to another or within a given religious or ritual context.
  • E. associatedWithSacrament
    Indicates a relationship where something is connected or related to a specific sacrament in a religious or ritual context.
  • 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_69a88b06709c8190978fb2418470d1b6 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abbfef875c8190b642736b4cc11d4c completed March 7, 2026, 6:04 a.m.
PD Predicate disambiguation batch_69abbdaa26d48190860c33fd464c4845 completed March 7, 2026, 5:54 a.m.
Created at: March 4, 2026, 7:46 p.m.