Triple

T35476110
Position Surface form Disambiguated ID Type / Status
Subject Antigone E1025336 entity
Predicate hasMinorityReligionCountry P2812 FINISHED
Object Christianity in Albania 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: Christianity in Albania | Statement: [Antigone, hasMinorityReligionCountry, Christianity in Albania]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMinorityReligionCountry
Context triple: [Antigone, hasMinorityReligionCountry, Christianity in Albania]
  • A. hasMinorityChurch
    Indicates that a church or religious group exists in a given place but represents a minority compared to other religious affiliations there.
  • B. religionMinority chosen
    Indicates that the subject’s religion is a minority faith within the relevant population or context.
  • C. religionSignificantMinorityRegion
    Indicates that a particular religion constitutes a significant minority presence within a specified geographic region.
  • D. isMajorReligionIn
    Indicates that a religion is one of the primary or most widely practiced religions within a specified region or country.
  • E. ethnicReligionMix
    Indicates a relationship where a group or context involves a combined or overlapping presence of specific ethnic identities and religious affiliations.
  • 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_69f76dfadba0819083456aadcd6864ea completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fd35d108908190b79b1e8e6bbd62aa completed May 8, 2026, 1:01 a.m.
PD Predicate disambiguation batch_69fd34cb46108190b43c3b7f67ec4cd4 completed May 8, 2026, 12:56 a.m.
Created at: May 3, 2026, 4:04 p.m.