Triple

T24538591
Position Surface form Disambiguated ID Type / Status
Subject William the Englishman E607024 entity
Predicate religious context P9028 FINISHED
Object Roman Catholic Church NE NERFINISHED

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: Roman Catholic Church | Statement: [William the Englishman, religious context, Roman Catholic Church]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: religious context
Context triple: [William the Englishman, religious context, Roman Catholic Church]
  • A. religiousCulturalContext chosen
    Indicates the religious or cultural setting, tradition, or framework within which an entity, practice, or event occurs or is interpreted.
  • B. typicalReligionContext
    Indicates the usual or most common religious setting, tradition, or affiliation associated with an entity or situation.
  • C. originReligionContext
    Indicates the religious background or setting from which something or someone originates or is derived.
  • D. religiousElement
    Indicates that something is a component, aspect, or feature associated with a religion or religious practice.
  • E. theologicalContext
    Indicates the religious or doctrinal framework, tradition, or set of beliefs within which something (such as a text, event, or concept) is interpreted or understood.
  • 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_69e2c4c9bf94819082d05da6f5c29907 completed April 17, 2026, 11:39 p.m.
NER Named-entity recognition batch_69f2be044d4c819094e14eda28d371a7 completed April 30, 2026, 2:27 a.m.
PD Predicate disambiguation batch_69f2a6b0ca8081908d931aec560eae56 completed April 30, 2026, 12:47 a.m.
Created at: April 18, 2026, 2:26 a.m.