Triple

T15364198
Position Surface form Disambiguated ID Type / Status
Subject IT E367366 entity
Predicate appliesToEntityWithOfficialLanguage 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: [IT, appliesToEntityWithOfficialLanguage, Italian]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: appliesToEntityWithOfficialLanguage
Context triple: [IT, appliesToEntityWithOfficialLanguage, Italian]
  • A. hasNotableLanguageWithOfficialStatusIn
    Indicates that a language holds an officially recognized and notable status within a specified jurisdiction or region.
  • B. hasLanguageOfOfficialName
    Indicates that an entity’s official name is expressed in a specified language.
  • C. hasOfficialCountryLanguage
    Indicates that a country recognizes a particular language as one of its official languages for governmental or legal purposes.
  • D. isOfficialLanguageFormFor
    Indicates that one language form is the officially recognized or standard variant used for another language or linguistic entity.
  • E. hasOfficialLanguageOfLocation chosen
    Indicates that a location has a specified language recognized as its official language.
  • 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_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e497de48190be249b110999ec5c completed April 16, 2026, 1:41 a.m.
PD Predicate disambiguation batch_69deca9ab7e88190a9261ef27be665b1 completed April 14, 2026, 11:15 p.m.
Created at: April 10, 2026, 3:18 a.m.