Triple

T25774116
Position Surface form Disambiguated ID Type / Status
Subject Salvation Mountain E649097 entity
Predicate founderReligiousBelief P56366 FINISHED
Object evangelical Christian 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: evangelical Christian | Statement: [Salvation Mountain, founderReligiousBelief, evangelical Christian]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: founderReligiousBelief
Context triple: [Salvation Mountain, founderReligiousBelief, evangelical Christian]
  • A. foundedReligion
    Indicates that an entity established or originated a particular religion.
  • B. hasReligiousFounderAssociated
    Indicates that an entity is associated with a specific religious founder, typically through origin, dedication, or foundational influence.
  • C. religionOrBelief chosen
    Indicates that one entity holds, practices, or is associated with a particular religion, faith, or belief system.
  • D. founderOfReligionAssociated
    Indicates that a person is the founder of a religion with which another entity is associated.
  • E. hasFounderOfReligion
    Indicates that an entity is the person who founded or established a particular religion.
  • 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_69e7ab333b508190b6d708d8d9a328ed completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f65aa07c048190a5df30d53d8f0cf5 completed May 2, 2026, 8:12 p.m.
PD Predicate disambiguation batch_69f659cc571c819097e51e531961d812 completed May 2, 2026, 8:08 p.m.
Created at: April 22, 2026, 5:32 a.m.