Triple

T11012905
Position Surface form Disambiguated ID Type / Status
Subject Bishopric of Radevormwald E260286 entity
Predicate hasRulingOffice P60156 FINISHED
Object bishop 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: bishop | Statement: [Bishopric of Radevormwald, hasRulingOffice, bishop]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRulingOffice
Context triple: [Bishopric of Radevormwald, hasRulingOffice, bishop]
  • A. hasSupremeOffice
    Indicates that an entity holds or occupies the highest-ranking official position within a given organization, institution, or jurisdiction.
  • B. hadRulingSeat
    Indicates that an entity held an official position of authority or judgment within a governing or decision-making body.
  • C. hasOffice
    Indicates that an entity possesses or maintains an office at a particular location or within a specific organization.
  • D. governingOffice chosen
    Indicates the official position or office through which an entity exercises governing authority over a jurisdiction or organization.
  • E. hasLocalGovernmentOffice
    Indicates that a local government office is present or established within a specified location or jurisdiction.
  • 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_69d6aa9687448190b28d353b1b6a610e completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7978b1e888190b297f107f6021b59 completed April 9, 2026, 12:11 p.m.
PD Predicate disambiguation batch_69d72e96be6c8190a46c69f61b2d8cd4 completed April 9, 2026, 4:44 a.m.
Created at: April 8, 2026, 9:25 p.m.