Triple

T26585268
Position Surface form Disambiguated ID Type / Status
Subject Christianization of Poland E667191 entity
Predicate longTermResult P112995 FINISHED
Object dominance of Roman Catholicism in Poland 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: dominance of Roman Catholicism in Poland | Statement: [Christianization of Poland, longTermResult, dominance of Roman Catholicism in Poland]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: longTermResult
Context triple: [Christianization of Poland, longTermResult, dominance of Roman Catholicism in Poland]
  • A. longLived
    Indicates that an entity has a lifespan or duration of existence significantly longer than what is typical or expected in its context.
  • B. result
    Indicates that one entity is produced, caused, or brought about as an outcome or consequence of another entity or process.
  • C. laterDuration
    Indicates that one event or time interval occurs after another and lasts for a specified duration.
  • D. outcomeOf
    Indicates that one entity is the result, consequence, or product that arises from another entity, event, or process.
  • E. majorResult chosen
    Indicates that one entity is a primary or most significant outcome, effect, or consequence resulting from another entity or event.
  • 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_69ee9cfb7e548190b60a9031182f5a7e completed April 26, 2026, 11:17 p.m.
NER Named-entity recognition batch_69f614e47cdc81909786f92cc0d5965f completed May 2, 2026, 3:14 p.m.
PD Predicate disambiguation batch_69f602d7b1b0819095ddd3b5169f8ce2 completed May 2, 2026, 1:57 p.m.
Created at: April 27, 2026, 2:05 a.m.