Triple

T32853750
Position Surface form Disambiguated ID Type / Status
Subject Regione Toscana E840322 entity
Predicate nomeUfficiale P66 FINISHED
Object Regione Toscana NE NERFINISHED

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: Regione Toscana | Statement: [Regione Toscana, nomeUfficiale, Regione Toscana]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: nomeUfficiale
Context triple: [Regione Toscana, nomeUfficiale, Regione Toscana]
  • A. officialName chosen
    Indicates the formally recognized name assigned to an entity by an authoritative body or source.
  • B. firstOfficialName
    Indicates the original or primary official name formally assigned to an entity before any subsequent name changes or alternatives.
  • C. formerOfficialNameOf
    Indicates that one entity was previously the official name of another entity before a renaming or reclassification.
  • D. officialNameGivenBy
    Indicates that an official or formal name has been assigned to an entity by a specific authority or source.
  • E. hasOfficialUNName
    Indicates that an entity possesses an official name as formally recognized by the United Nations.
  • 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_69f349412c78819084459850e11d29f7 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6ce7ba5b88190a2bc14d4f7d63013 completed May 3, 2026, 4:26 a.m.
PD Predicate disambiguation batch_69f6cc1667a48190b42684f6ec22dae9 completed May 3, 2026, 4:16 a.m.
Created at: May 1, 2026, 1:17 a.m.