Triple

T17153921
Position Surface form Disambiguated ID Type / Status
Subject Archbishop of Mechelen-Brussels E416291 entity
Predicate traditionallyRole P18942 FINISHED
Object leading Roman Catholic prelate in Belgium 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: leading Roman Catholic prelate in Belgium | Statement: [Archbishop of Mechelen-Brussels, traditionallyRole, leading Roman Catholic prelate in Belgium]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: traditionallyRole
Context triple: [Archbishop of Mechelen-Brussels, traditionallyRole, leading Roman Catholic prelate in Belgium]
  • A. typicalRole chosen
    Indicates that one entity serves as the usual, characteristic, or commonly expected role or function of another entity.
  • B. typicalAdditionalRole
    Indicates that an entity commonly or characteristically holds an extra role or function in addition to its primary one.
  • C. ethnicRole
    Indicates a role, function, or social position that is specifically associated with or defined by an entity’s ethnicity.
  • D. traditionalDuty
    Indicates that an entity has an obligation or responsibility toward another entity or activity based on established customs, norms, or longstanding traditions.
  • E. themeRole
    Indicates that an entity is the primary participant undergoing or affected by the action or event expressed by a predicate.
  • 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_69d886d279c081909f8ff1f743ddeb69 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f4092c40819096359ff90af16c3e completed April 18, 2026, 9:13 p.m.
PD Predicate disambiguation batch_69e3830d2a90819092386717dc56f0e8 completed April 18, 2026, 1:11 p.m.
Created at: April 10, 2026, 5:37 a.m.