Triple

T35198140
Position Surface form Disambiguated ID Type / Status
Subject Alexander Kuznetsov E1016323 entity
Predicate religiousArchitectureTypeFinanced P200692 FINISHED
Object Orthodox churches 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: Orthodox churches | Statement: [Alexander Kuznetsov, religiousArchitectureTypeFinanced, Orthodox churches]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: religiousArchitectureTypeFinanced
Context triple: [Alexander Kuznetsov, religiousArchitectureTypeFinanced, Orthodox churches]
  • A. religiousBuildingDesigned
    Indicates that one entity (typically an architect or designer) is responsible for designing a religious building associated with the other entity.
  • B. inReligiousStructure
    Indicates that one entity is located within or inside a building or structure used for religious purposes.
  • C. religiousBuildingDedicatedTo
    Indicates that a religious building is formally dedicated or consecrated to a particular deity, figure, or religious concept.
  • D. religiousBuildingSpecialty
    Indicates that a religious building is specifically dedicated to or specializes in a particular religious function, practice, or tradition.
  • E. religiousPatronageIn
    Indicates that an entity provides religious patronage, support, or sponsorship within a specified place or region.
  • 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_69f76dde814c8190a71f60d514a424a4 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69ffa15d53208190ab8574d6c7913e18 completed May 9, 2026, 9:04 p.m.
PD Predicate disambiguation batch_69ff9eee681c81909434e79c627cb528 completed May 9, 2026, 8:54 p.m.
PDg Predicate description generation batch_69ffa15c3f348190a59403bc72ac9ed4 completed May 9, 2026, 9:04 p.m.
Created at: May 3, 2026, 4:02 p.m.