Triple

T9786310
Position Surface form Disambiguated ID Type / Status
Subject TurkishLanguageSchools E237496 entity
Predicate mayUseLanguageOfAdministration P86356 FINISHED
Object English E211 NE FINISHED

How this triple was built (3 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: English | Statement: [TurkishLanguageSchools, mayUseLanguageOfAdministration, English]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: English
Context triple: [TurkishLanguageSchools, mayUseLanguageOfAdministration, English]
  • A. English chosen
    English is a widely spoken West Germanic language that serves as a global lingua franca in education, business, science, and international communication.
  • B. ENG
    ENG is the three-letter FIFA country code used to represent the England national football team in international competitions and official records.
  • C. EN
    EN is the standard abbreviation used in Portugal for "Estrada Nacional," the national road network.
  • D. Angolalla
    Angolalla is a historic town in central Ethiopia known as the birthplace of Emperor Menelik II.
  • E. World English
    World English is a phonetic notation system developed by Alexander Melville Bell to represent the sounds of spoken English with precision.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mayUseLanguageOfAdministration
Context triple: [TurkishLanguageSchools, mayUseLanguageOfAdministration, English]
  • A. usesLanguageForAdministration chosen
    Indicates that an entity employs a particular language as the official medium for its administrative or governmental functions.
  • B. historicallyDominantLanguageOfAdministrationIn
    Indicates that a language has historically been the primary language used for official governance and administrative functions within a given place or political entity.
  • C. eligibleLanguage
    Indicates that a particular language satisfies the required conditions to be considered valid or allowed in a given context.
  • D. languageOfAwardAdministration
    Indicates the language used to administer, manage, or conduct the award process.
  • E. laterSecondaryLanguageOfAdministration
    Indicates that one language served as a subsequent or later secondary language used for administrative purposes in relation to another language.
  • F. None of above.

Provenance (4 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_69ca84da927881909bda80caecad6010 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda2107f688190b2cab1509c508319 completed April 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c4235ae88190aefaa6d9b63031e0 completed April 5, 2026, 2:08 a.m.
PD Predicate disambiguation batch_69cd03d77c6c81909b675955bf113320 completed April 1, 2026, 11:39 a.m.
Created at: March 30, 2026, 8:27 p.m.