Triple

T34991334
Position Surface form Disambiguated ID Type / Status
Subject Hajdúdorog E1009392 entity
Predicate hasChristianDenominationPresence P45908 FINISHED
Object Greek Catholicism 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: Greek Catholicism | Statement: [Hajdúdorog, hasChristianDenominationPresence, Greek Catholicism]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasChristianDenominationPresence
Context triple: [Hajdúdorog, hasChristianDenominationPresence, Greek Catholicism]
  • A. hasDenominationalPresence chosen
    Indicates that a particular religious denomination is present or represented within a given location, organization, or context.
  • B. hasMajorChristianDenomination
    Indicates that an entity (typically a religion, region, or population) includes or is associated with a principal branch or major denomination of Christianity.
  • C. isChristianDenomination
    Indicates that one entity is a Christian religious denomination or branch within Christianity.
  • D. mayBelongToDenomination
    Indicates that an entity is possibly, but not certainly, affiliated with or a member of a particular denomination.
  • E. hasDenominationalCounterpart
    Indicates that one entity has a corresponding or equivalent entity in another religious denomination or branch.
  • 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_69f76dca50dc8190b71f39defe186be8 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69feba0f09508190b3e871c62b19ec7f completed May 9, 2026, 4:37 a.m.
PD Predicate disambiguation batch_69feb957fe7c8190969fb31a6d1a59c8 completed May 9, 2026, 4:34 a.m.
Created at: May 3, 2026, 4:01 p.m.