Triple

T18251244
Position Surface form Disambiguated ID Type / Status
Subject Arva County E437095 entity
Predicate religionsHistorically P7641 FINISHED
Object Roman Catholicism 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: Roman Catholicism | Statement: [Arva County, religionsHistorically, Roman Catholicism]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: religionsHistorically
Context triple: [Arva County, religionsHistorically, Roman Catholicism]
  • A. religionHistoricallyAssociated chosen
    Indicates a historical association between an entity and a particular religion, based on past practice, tradition, or cultural linkage rather than current or official status.
  • B. historicalDoctrine
    Indicates that one entity embodies, represents, or is associated with a doctrine, teaching, or set of principles originating from a past historical context.
  • C. laterReligion
    Indicates that one religion or religious affiliation chronologically follows or replaces another for the same entity.
  • D. historicalFaith
    Indicates a relationship where an entity holds or is associated with a religious belief or tradition rooted in historical events, doctrines, or practices.
  • E. religiousTraditions
    Indicates a relationship where certain religious customs, practices, or belief systems are associated with or observed by an entity.
  • 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_69d8b91104e08190a8241f7d260a5162 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4fd8124648190ae7fc9f1fc5cf9bd completed April 19, 2026, 4:06 p.m.
PD Predicate disambiguation batch_69e44fcdee748190bae6fb76e0cb22f3 completed April 19, 2026, 3:45 a.m.
Created at: April 10, 2026, 10:33 a.m.