Triple

T36379905
Position Surface form Disambiguated ID Type / Status
Subject Nulato, Alaska E896015 entity
Predicate primaryReligionContemporary P81268 FINISHED
Object Christianity 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 | Statement: [Nulato, Alaska, primaryReligionContemporary, Christianity]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primaryReligionContemporary
Context triple: [Nulato, Alaska, primaryReligionContemporary, Christianity]
  • A. contemporaryReligion
    Indicates that two entities practice or are associated with religions that exist and are followed during the same historical time period.
  • B. modernReligionMix
    Indicates a relationship where elements from multiple religious traditions are combined or blended into a contemporary, syncretic religious practice or identity.
  • C. majorReligionCanBe chosen
    Indicates that an entity can have a particular major religion as one of its possible primary religious affiliations.
  • D. laterReligion
    Indicates that one religion or religious affiliation chronologically follows or replaces another for the same entity.
  • E. laterReligionDominant
    Indicates that a religion adopted or followed at a later time becomes the dominant or primary religion in the relevant context or entity.
  • 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_69f76e51d358819092bbc5f119f49476 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_6a037c8d06cc8190ab6a5e18d9d2571e completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a037a0a54cc8190868c1bfa1590d1a6 completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:10 p.m.