Triple

T26864832
Position Surface form Disambiguated ID Type / Status
Subject Rotes Kloster E676435 entity
Predicate Religion P52189 FINISHED
Object Römisch-katholisch 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: Römisch-katholisch | Statement: [Rotes Kloster, Religion, Römisch-katholisch]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: Religion
Context triple: [Rotes Kloster, Religion, Römisch-katholisch]
  • A. subjectReligion chosen
    Indicates that the subject is associated with, practices, or adheres to a particular religion.
  • B. religionOrBelief
    Indicates that one entity holds, practices, or is associated with a particular religion, faith, or belief system.
  • C. laterReligion
    Indicates that one religion or religious affiliation chronologically follows or replaces another for the same entity.
  • D. religiousEnvironment
    Indicates the religious context, atmosphere, or setting in which an entity exists or an action takes place.
  • E. involvedReligion
    Indicates that an entity is associated with, participates in, or is characterized by a particular religion.
  • 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_69eee9ba94bc8190b44c5d4397d04ecd completed April 27, 2026, 4:44 a.m.
NER Named-entity recognition batch_69f7979a073881909a4fde2558e6b6f3 completed May 3, 2026, 6:44 p.m.
PD Predicate disambiguation batch_69f7961550f88190b7bb8a9155458b54 completed May 3, 2026, 6:38 p.m.
Created at: April 27, 2026, 5:28 a.m.