Triple

T114929
Position Surface form Disambiguated ID Type / Status
Subject Defender of the Faith E2317 entity
Predicate originalReason P6484 FINISHED
Object defence of the seven sacraments against Martin Luther 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: defence of the seven sacraments against Martin Luther | Statement: [Defender of the Faith, originalReason, defence of the seven sacraments against Martin Luther]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: originalReason
Context triple: [Defender of the Faith, originalReason, defence of the seven sacraments against Martin Luther]
  • A. selectionReason
    Indicates the reason or justification for choosing or selecting one entity over alternatives.
  • B. causeOf
    Indicates that one entity brings about, produces, or is responsible for the occurrence or existence of another entity or event.
  • C. reasonForReoffer
    Indicates the reason or justification for presenting something again after it was previously offered.
  • D. originalType
    Indicates that one entity represents the initial or source type from which another entity is derived, transformed, or reclassified.
  • E. reasonForRelocation
    Indicates the underlying cause, motivation, or circumstance that led an entity to move from one location to another.
  • 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_69a2506c5428819085c28a8884790e29 completed Feb. 28, 2026, 2:18 a.m.
NER Named-entity recognition batch_69a25760af348190bf402089c240887d completed Feb. 28, 2026, 2:48 a.m.
PD Predicate disambiguation batch_69a2564417848190a8a8a38e97348963 completed Feb. 28, 2026, 2:43 a.m.
PDg Predicate description generation batch_69a2575d8a648190ad8e10d4b04e5e07 completed Feb. 28, 2026, 2:47 a.m.
Created at: Feb. 28, 2026, 2:24 a.m.