Triple

T15422861
Position Surface form Disambiguated ID Type / Status
Subject Southern Virginia University E369426 entity
Predicate supportsReligiousLife P97986 FINISHED
Object Latter-day Saint students 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: Latter-day Saint students | Statement: [Southern Virginia University, supportsReligiousLife, Latter-day Saint students]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsReligiousLife
Context triple: [Southern Virginia University, supportsReligiousLife, Latter-day Saint students]
  • A. languageOfReligiousLife
    Indicates the language primarily used in the religious practices, rituals, or spiritual life associated with an entity.
  • B. religiousSupportType chosen
    Indicates the type or form of support provided or received in a religious or faith-based context.
  • C. allowsReligiousParticipation
    Indicates that one entity grants another entity the permission or opportunity to take part in religious activities, practices, or institutions.
  • D. bearerReligion
    Indicates that a bearer (such as a person or entity) adheres to, practices, or is associated with a particular religion.
  • E. religiousAttitude
    Indicates an entity’s stance, disposition, or orientation toward religion or religious beliefs.
  • 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_69d85a1849f48190bf898068b2806fae completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ec032548190840b558dde6057c7 completed April 16, 2026, 1:43 a.m.
PD Predicate disambiguation batch_69ded27f45548190a6d2b1b85cb47444 completed April 14, 2026, 11:49 p.m.
Created at: April 10, 2026, 3:20 a.m.