Triple

T10870151
Position Surface form Disambiguated ID Type / Status
Subject Union of Auhausen E256626 entity
Predicate hasReligiousGoal P22161 FINISHED
Object protection of Protestant churches 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: protection of Protestant churches | Statement: [Union of Auhausen, hasReligiousGoal, protection of Protestant churches]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasReligiousGoal
Context triple: [Union of Auhausen, hasReligiousGoal, protection of Protestant churches]
  • A. religiousMotivation
    Indicates that an action, decision, or relationship is driven or significantly influenced by religious beliefs, values, or obligations.
  • B. hasReligiousSee
    Indicates that one entity serves as the ecclesiastical or religious jurisdiction/seat (see) of another entity.
  • C. religiousTarget
    Indicates that an action, policy, or behavior is directed at someone or something specifically because of their religion or religious affiliation.
  • D. hasTheologicalPurpose chosen
    Indicates that something is intended or designed to serve a religious or theological function or goal.
  • E. hasMoralPurpose
    Indicates that an entity, action, or decision is guided by or oriented toward ethical values, principles, or morally significant goals.
  • 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_69d6aa83d1448190a66d93c32394d21f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7518610e48190bee50db71ae0ca3e completed April 9, 2026, 7:13 a.m.
PD Predicate disambiguation batch_69d70d360c388190a3d829fe8862434f completed April 9, 2026, 2:21 a.m.
Created at: April 8, 2026, 9:20 p.m.