Triple

T32975898
Position Surface form Disambiguated ID Type / Status
Subject Evangelical Lutheran Church in Serbia E843659 entity
Predicate hasMainReligionContext P202760 FINISHED
Object Serbian religious landscape 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: Serbian religious landscape | Statement: [Evangelical Lutheran Church in Serbia, hasMainReligionContext, Serbian religious landscape]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMainReligionContext
Context triple: [Evangelical Lutheran Church in Serbia, hasMainReligionContext, Serbian religious landscape]
  • A. hasReligionDomain
    Indicates that an entity is associated with, operates within, or pertains to a particular religious domain or sphere.
  • B. hasAssociatedReligion
    Indicates that an entity is connected with or linked to a particular religion.
  • C. hasReligious
    Indicates that an entity is associated with, practices, or adheres to a particular religion or religious affiliation.
  • D. hasPrimaryReligionComplex
    Indicates that an entity is primarily associated with, practices, or is characterized by a particular religion or religious complex.
  • E. hasReligiousType
    Indicates that an entity is associated with or classified under a particular religion or religious category.
  • F. None of above. chosen

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_69f3494b9fc48190bb61c955ba471275 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_6a00b6199c348190b1e90375f737d026 completed May 10, 2026, 4:45 p.m.
PD Predicate disambiguation batch_6a00b5169a7881909a07167c4188731f completed May 10, 2026, 4:40 p.m.
PDg Predicate description generation batch_6a00b618cb10819095ccef12d8e303c5 completed May 10, 2026, 4:45 p.m.
Created at: May 1, 2026, 1:22 a.m.