Triple

T28680060
Position Surface form Disambiguated ID Type / Status
Subject reasonablefaith.org E725982 entity
Predicate hasApologeticsApproach P94364 FINISHED
Object classical apologetics 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: classical apologetics | Statement: [reasonablefaith.org, hasApologeticsApproach, classical apologetics]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasApologeticsApproach
Context triple: [reasonablefaith.org, hasApologeticsApproach, classical apologetics]
  • A. hasApologeticApproach
    Indicates that one entity adopts a remorseful, apologizing stance or strategy toward another entity or situation.
  • B. hasApologeticAim
    Indicates that an action, communication, or behavior is intended to express regret, remorse, or an apology toward another party.
  • C. hasApologeticFunction
    Indicates that something serves the role of expressing regret, remorse, or an apology in a given context.
  • D. hasApologeticGoal
    Indicates that an entity’s goal or intended outcome involves expressing regret, making amends, or otherwise apologizing for a past action or situation.
  • E. hasEthicOrApproach chosen
    Indicates that one entity possesses, follows, or is characterized by a particular ethic, principle, or methodological approach in its behavior or practice.
  • 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_69f01d867608819086bc3e6b4f9de866 completed April 28, 2026, 2:37 a.m.
NER Named-entity recognition batch_69f7675b12848190a3569cfda29c5b0e completed May 3, 2026, 3:18 p.m.
PD Predicate disambiguation batch_69f762f4b59481909f70074f11825bfb completed May 3, 2026, 3 p.m.
Created at: April 28, 2026, 5:08 a.m.