Triple

T16296079
Position Surface form Disambiguated ID Type / Status
Subject Archbishop of Bologna E395649 entity
Predicate historicalPredecessorOffice P14662 FINISHED
Object Bishop of Bologna 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 of Bologna | Statement: [Archbishop of Bologna, historicalPredecessorOffice, Bishop of Bologna]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: historicalPredecessorOffice
Context triple: [Archbishop of Bologna, historicalPredecessorOffice, Bishop of Bologna]
  • A. predecessorInOffice
    Indicates that one officeholder directly held a particular position before another officeholder in an official succession.
  • B. previousOffice
    Indicates that one office or position was held immediately before another in a sequence of offices.
  • C. predecessorHeadOfStateRepresentative
    Indicates that one entity previously served as the head-of-state representative immediately before the other entity in a given office or role.
  • D. successorOfficeTo
    Indicates that one office or position directly follows and replaces another in an official sequence or hierarchy.
  • E. historicalEntityPredecessor chosen
    Indicates that one historical entity existed or held a role before another, serving as its predecessor in time or sequence.
  • 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_69d87f23bb088190a16fbb91a1957ea5 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e25e2dcdac819083918f0964dd5666 completed April 17, 2026, 4:22 p.m.
PD Predicate disambiguation batch_69e219fa5508819097e9d383348bf174 completed April 17, 2026, 11:31 a.m.
Created at: April 10, 2026, 5:06 a.m.