Triple

T37488648
Position Surface form Disambiguated ID Type / Status
Subject Gößweinstein E931605 entity
Predicate hasReligiousDenominationMajority P2986 FINISHED
Object Roman Catholic E384 NE 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: Roman Catholic | Statement: [Gößweinstein, hasReligiousDenominationMajority, Roman Catholic]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasReligiousDenominationMajority
Context triple: [Gößweinstein, hasReligiousDenominationMajority, Roman Catholic]
  • A. dominantReligion chosen
    Indicates the religion that holds primary or majority status within a given group, region, or entity.
  • B. majorityReligionInUrbanAreas
    Indicates that a specified religion is the predominant or most widely practiced faith within the urban areas of a given region or population.
  • C. religiousMajoritySubgroup
    Indicates that the referenced subgroup constitutes the largest or dominant portion of a population in terms of religious affiliation.
  • D. laterReligionDominant
    Indicates that a religion adopted or followed at a later time becomes the dominant or primary religion in the relevant context or entity.
  • E. countryMinorityOrMajority
    Indicates whether a specified group constitutes a numerical minority or majority within a given country.
  • F. None of above.

Provenance (4 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_69f76ec382248190b47844df596123c6 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_6a037c8efcd4819088c2aeead65d93df completed May 12, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a409ef950508190aff99f0efc32973c completed June 28, 2026, 4:11 a.m.
PD Predicate disambiguation batch_6a037a13a1308190a202df66f4781855 completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:17 p.m.