Triple

T5207078
Position Surface form Disambiguated ID Type / Status
Subject Bohemian phase E117537 entity
Predicate isPartOfConflictBetween P35813 FINISHED
Object Protestant estates of Bohemia and Catholic Habsburg rulers 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: Protestant estates of Bohemia and Catholic Habsburg rulers | Statement: [Bohemian phase, isPartOfConflictBetween, Protestant estates of Bohemia and Catholic Habsburg rulers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isPartOfConflictBetween
Context triple: [Bohemian phase, isPartOfConflictBetween, Protestant estates of Bohemia and Catholic Habsburg rulers]
  • A. hasPartOfConflict chosen
    Indicates that one conflict includes another conflict as a constituent or subordinate part of it.
  • B. conflictIn
    Indicates that one entity is involved in, associated with, or occurs within a particular conflict or dispute.
  • C. conflictBelligerent
    Indicates that an entity is a participating belligerent (e.g., a country, group, or force) in a specific conflict.
  • D. conflictOrCooperationWith
    Indicates the presence, nature, or degree of either conflict or cooperation between two entities.
  • E. formedInConflict
    Indicates that an entity came into existence as a direct result of, or during the course of, a specific conflict or war.
  • 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_69bd4463dd3c81909966123f20b79d57 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7a4a7b7c8190af5a7149f8fe4f87 completed March 20, 2026, 4:48 p.m.
PD Predicate disambiguation batch_69bd77bb4e8c819094b5ac7cf61512f9 completed March 20, 2026, 4:37 p.m.
Created at: March 20, 2026, 1:47 p.m.