Triple

T26466396
Position Surface form Disambiguated ID Type / Status
Subject Bergfriedhof, Berchtesgaden E665777 entity
Predicate religionOrDenomination P45 FINISHED
Object Christianity NE NERFINISHED

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: Christianity | Statement: [Bergfriedhof, Berchtesgaden, religionOrDenomination, Christianity]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: religionOrDenomination
Context triple: [Bergfriedhof, Berchtesgaden, religionOrDenomination, Christianity]
  • A. denominations
    Indicates the specific units or categories into which something (often money, values, or items) is divided or classified.
  • B. religionOrBelief
    Indicates that one entity holds, practices, or is associated with a particular religion, faith, or belief system.
  • C. religiousAffiliation chosen
    Indicates that one entity has a specified religious association, belief system, or denominational membership.
  • D. orderReligion
    Indicates that one entity prescribes, organizes, or regulates the religious practices, beliefs, or structure of another entity.
  • E. religiousBranchOf
    Indicates that one religion, denomination, or sect is a subdivision or offshoot of a larger parent religious tradition.
  • 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_69ee883e812c8190a9b5a9cdb87fee5e completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69f75dc25fa08190b371faf36d9fb72c completed May 3, 2026, 2:37 p.m.
PD Predicate disambiguation batch_69f758586534819083e91172f4bf5098 completed May 3, 2026, 2:14 p.m.
Created at: April 27, 2026, 12:16 a.m.