Triple

T443913
Position Surface form Disambiguated ID Type / Status
Subject European wars of religion E10175 entity
Predicate hasMainCause P708 FINISHED
Object religious conflict between Catholics and Protestants 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: religious conflict between Catholics and Protestants | Statement: [European wars of religion, hasMainCause, religious conflict between Catholics and Protestants]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMainCause
Context triple: [European wars of religion, hasMainCause, religious conflict between Catholics and Protestants]
  • A. hasCause chosen
    Indicates that one entity is the reason for, or brings about, the occurrence or existence of another entity or event.
  • B. hasMainOrgan
    Indicates that an entity possesses a primary or principal organ that plays a central role in its biological or functional system.
  • C. hasProposedCause
    Indicates that one entity is suggested or hypothesized to be the cause or explanation for another entity or event.
  • D. causeOf
    Indicates that one entity brings about, produces, or is responsible for the occurrence or existence of another entity or event.
  • E. hasCauseOfDestruction
    Indicates that one entity is the cause or agent responsible for the destruction or damage of another entity.
  • 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_69a2e8465ef481909655c681b01e2986 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2ef459800819083cd9eef3e7b5295 completed Feb. 28, 2026, 1:36 p.m.
PD Predicate disambiguation batch_69a2edde2b9c8190bd20b582eb4c5065 completed Feb. 28, 2026, 1:30 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.