Triple

T15422851
Position Surface form Disambiguated ID Type / Status
Subject Southern Virginia University E369426 entity
Predicate faithSupportive P97986 FINISHED
Object true 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: true | Statement: [Southern Virginia University, faithSupportive, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: faithSupportive
Context triple: [Southern Virginia University, faithSupportive, true]
  • A. beliefEncouragedBy
    Indicates that one entity’s belief is supported, strengthened, or promoted as a result of influence, actions, or encouragement from another entity.
  • B. religiousSupportType chosen
    Indicates the type or form of support provided or received in a religious or faith-based context.
  • C. supportedCreed
    Indicates that one entity endorsed, upheld, or actively promoted a particular belief system, doctrine, or set of principles associated with another entity.
  • D. supportedMinistryIn
    Indicates that an entity provided support to a ministry operating within a specified location or jurisdiction.
  • E. religiousMotivation
    Indicates that an action, decision, or relationship is driven or significantly influenced by religious beliefs, values, or obligations.
  • 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.