Triple

T4713665
Position Surface form Disambiguated ID Type / Status
Subject Captains Regent of San Marino E104578 entity
Predicate officialLanguageLabel P236 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: [Captains Regent of San Marino, officialLanguageLabel, Italian]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: officialLanguageLabel
Context triple: [Captains Regent of San Marino, officialLanguageLabel, Italian]
  • A. officialLanguage chosen
    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.
  • B. standardLanguageOf
    Indicates that one entity serves as the officially recognized or commonly used standard language for another entity (such as a country, region, or organization).
  • C. previousOfficialLanguage
    Indicates that one language formerly held official status in a country, region, or organization before being replaced or losing that status.
  • D. hasLanguageOfOfficialName
    Indicates that an entity’s official name is expressed in a specified language.
  • E. languageOfOfficialAnnouncements
    Indicates the language used for formal or official public announcements issued by an authority.
  • 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_69bd43eac3c08190af7e4020c6c3704c completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd680beb508190b3d74e20e1c64405 completed March 20, 2026, 3:30 p.m.
PD Predicate disambiguation batch_69bd621ddcd88190903288566f5e5dab completed March 20, 2026, 3:05 p.m.
Created at: March 20, 2026, 1:18 p.m.