Triple

T3647323
Position Surface form Disambiguated ID Type / Status
Subject Princess of Lucca and Piombino E77331 entity
Predicate titleCreationContext P40006 FINISHED
Object reorganization of Italian states under Napoleon 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: reorganization of Italian states under Napoleon | Statement: [Princess of Lucca and Piombino, titleCreationContext, reorganization of Italian states under Napoleon]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: titleCreationContext
Context triple: [Princess of Lucca and Piombino, titleCreationContext, reorganization of Italian states under Napoleon]
  • A. titleCreation
    Indicates that an entity is responsible for creating, originating, or authoring the title associated with another entity.
  • B. associatedTitleCreation chosen
    Indicates that one entity is linked to the creation or origination of a particular title associated with another entity.
  • C. titleCreationPeriod
    Indicates the time span or historical period during which a title was originally created or established.
  • D. title
    Indicates that one entity serves as the formal name or designation of another entity.
  • E. titleRepresents
    Indicates that a given title stands for, denotes, or symbolizes a particular concept, role, work, or entity.
  • 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_69ad85de1b988190a45f8dbfebc806fc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc38aa2388190bf1af926375e2433 completed March 8, 2026, 6:44 p.m.
PD Predicate disambiguation batch_69adb8445b2c8190ab07f6ad4e010d0e completed March 8, 2026, 5:56 p.m.
Created at: March 8, 2026, 3:24 p.m.