Triple

T14451163
Position Surface form Disambiguated ID Type / Status
Subject House of Lorraine in Tuscany E358336 entity
Predicate lostPowerDueTo P86927 FINISHED
Object Italian unification 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: Italian unification | Statement: [House of Lorraine in Tuscany, lostPowerDueTo, Italian unification]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: lostPowerDueTo
Context triple: [House of Lorraine in Tuscany, lostPowerDueTo, Italian unification]
  • A. lostPowerThrough chosen
    Indicates that an entity ceased to have power, authority, or control as a result of another specified entity or factor.
  • B. lostPower
    Indicates that an entity has ceased to have electrical or functional power it previously possessed.
  • C. lostPowerIn
    Indicates that an entity has experienced a loss of electrical or functional power while in or at a specified location or context.
  • D. lostPowerDuring
    Indicates that an entity ceased to have electrical or functional power at some time during a specified event or interval.
  • E. lossOfPower
    Indicates that an entity experiences a reduction or complete removal of its ability to exert control, influence, or operational capability.
  • 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_69d82794dfa081909b9134ad2e32244b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de916244948190bb09d1bfc485ba50 completed April 14, 2026, 7:11 p.m.
PD Predicate disambiguation batch_69de5c3a02fc819097373f97a260cdeb completed April 14, 2026, 3:24 p.m.
Created at: April 10, 2026, 1:19 a.m.