Triple

T11829950
Position Surface form Disambiguated ID Type / Status
Subject Bishop of Mississippi E281359 entity
Predicate canHaveType P14124 FINISHED
Object diocesan 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: diocesan bishop | Statement: [Bishop of Mississippi, canHaveType, diocesan bishop]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: canHaveType
Context triple: [Bishop of Mississippi, canHaveType, diocesan bishop]
  • A. haveType
    Indicates that an entity belongs to or is classified under a specified type or category.
  • B. canBeTypeOf chosen
    Indicates that one entity is capable of serving as, or being classified as, a particular type or category of another entity.
  • C. hasPackageType
    Indicates that an entity is associated with or classified under a particular type or category of package.
  • D. hasNumberOfTypes
    Indicates that an entity is associated with a specific count of distinct types or categories it possesses or includes.
  • E. hasParType
    Indicates that an entity has a specific parent type or category to which it belongs.
  • 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_69d6ab276f8c8190b1966a0ef11349ac completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a62b75dc8190b27d24e46a262a11 completed April 10, 2026, 7:26 a.m.
PD Predicate disambiguation batch_69d8a251fc08819095933f1d13c3b742 completed April 10, 2026, 7:10 a.m.
Created at: April 8, 2026, 9:43 p.m.