Triple

T18462687
Position Surface form Disambiguated ID Type / Status
Subject Italian regions E451076 entity
Predicate electRegionalPresidentBy P131757 FINISHED
Object direct election in most regions 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: direct election in most regions | Statement: [Italian regions, electRegionalPresidentBy, direct election in most regions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: electRegionalPresidentBy
Context triple: [Italian regions, electRegionalPresidentBy, direct election in most regions]
  • A. hasRegionalGovernor
    Indicates that a region is administered or overseen by a specific governor responsible for its governance.
  • B. electRegionalCouncilBy
    Indicates that an entity is chosen or appointed to a regional council through the action or decision of another specified entity.
  • C. hasExecutiveSeat
    Indicates that an entity holds a position or seat with executive authority or decision-making power within an organization or governing body.
  • D. governmentRegionFor
    Indicates that a government entity has jurisdiction over or is associated with a specific geographic region.
  • E. provinceRepresented
    Indicates that an entity (such as a person or office) serves as the official representative of a particular province.
  • F. None of above. chosen

Provenance (4 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_69d8d38345688190b565eac2e4cd7935 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e52a80a2bc81909ec14811577a311d completed April 19, 2026, 7:18 p.m.
PD Predicate disambiguation batch_69e469d05cf4819099baf1665a9cf18a completed April 19, 2026, 5:36 a.m.
PDg Predicate description generation batch_69e46d2aa72c8190a40854a7a52081e2 completed April 19, 2026, 5:50 a.m.
Created at: April 10, 2026, 11:33 a.m.