Triple

T32825527
Position Surface form Disambiguated ID Type / Status
Subject Piazza del Duomo (San Gimignano) E839544 entity
Predicate officialLanguageAtLocation P96074 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: [Piazza del Duomo (San Gimignano), officialLanguageAtLocation, Italian]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: officialLanguageAtLocation
Context triple: [Piazza del Duomo (San Gimignano), officialLanguageAtLocation, Italian]
  • A. hasOfficialLanguageOfLocation chosen
    Indicates that a location has a specified language recognized as its official language.
  • B. officialLanguage
    Indicates that a particular language has been formally designated by an authority as the official language used for government, legal, or administrative purposes in a given jurisdiction.
  • C. declaresOfficialLanguageOf
    Indicates that an authority formally designates a particular language as the official language of a specified entity or jurisdiction.
  • D. officialLanguageInParts
    Indicates that a language holds official status only in certain regions or subdivisions of a larger geopolitical entity, rather than throughout the entire entity.
  • E. hasOfficialCountryLanguage
    Indicates that a country recognizes a particular language as one of its official languages for governmental or legal purposes.
  • 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_69f3493f22f88190ae6dd4bc15b6cf8d completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69ff38b960808190a8263348f1e5c0e4 completed May 9, 2026, 1:38 p.m.
PD Predicate disambiguation batch_69ff37d97d9c8190849b2bac14f9af1d completed May 9, 2026, 1:34 p.m.
Created at: May 1, 2026, 1:15 a.m.