Triple

T35889110
Position Surface form Disambiguated ID Type / Status
Subject municipality of Ticino E1037733 entity
Predicate governanceLanguage P50752 FINISHED
Object Italian 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 | Statement: [municipality of Ticino, governanceLanguage, Italian]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: governanceLanguage
Context triple: [municipality of Ticino, governanceLanguage, Italian]
  • A. governingLanguage chosen
    Indicates the language that holds official or authoritative status over a given entity, such as a region, organization, or document.
  • B. governance
    Indicates the relationship in which one entity exercises authority, control, or decision-making power over the policies, actions, or direction of another entity or system.
  • C. governanceIncludes
    Indicates that a governance structure or framework encompasses, incorporates, or has authority over the specified component, process, or entity.
  • D. governanceCategory
    Indicates the type or classification of governance under which an entity, action, or relationship is organized or regulated.
  • E. governanceArea
    Indicates the geographic or jurisdictional area over which an entity has governing authority or responsibility.
  • 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_69f76e1f4d748190bb55594d8441d70e completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_6a02145017b08190bd424cc647c08d3b completed May 11, 2026, 5:39 p.m.
PD Predicate disambiguation batch_6a021338e2b08190980c489ee44c18b3 completed May 11, 2026, 5:34 p.m.
Created at: May 3, 2026, 4:06 p.m.