Triple

T31251395
Position Surface form Disambiguated ID Type / Status
Subject Prince-Bishop of Speyer E796827 entity
Predicate lostTemporalPowerDuring P78351 FINISHED
Object German mediatization 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: German mediatization | Statement: [Prince-Bishop of Speyer, lostTemporalPowerDuring, German mediatization]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: lostTemporalPowerDuring
Context triple: [Prince-Bishop of Speyer, lostTemporalPowerDuring, German mediatization]
  • A. lostTemporalPower chosen
    Indicates that an entity has ceased to hold or exercise secular or time-bound authority or control it previously possessed.
  • B. lostPowerDuring
    Indicates that an entity ceased to have electrical or functional power at some time during a specified event or interval.
  • C. lostPowerAfter
    Indicates that one entity ceased to have power or electricity following an event associated with another entity.
  • D. lostPowerInEvent
    Indicates that an entity ceased to have power or electricity as a result of a specific event.
  • E. lostPowerThrough
    Indicates that an entity ceased to have power, authority, or control as a result of another specified entity or factor.
  • 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_69f224dc84d0819081f1cb6f9127e6b1 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f69edbb7648190bd89c57e0932eac1 completed May 3, 2026, 1:03 a.m.
PD Predicate disambiguation batch_69f69d1bf8cc8190a78dfa5ab00daf3a completed May 3, 2026, 12:55 a.m.
Created at: April 29, 2026, 9:11 p.m.