Triple

T7891826
Position Surface form Disambiguated ID Type / Status
Subject AB InBev E183252 entity
Predicate hasCorporateLanguage P45659 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: [AB InBev, hasCorporateLanguage, English]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: English
Context triple: [AB InBev, hasCorporateLanguage, 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: hasCorporateLanguage
Context triple: [AB InBev, hasCorporateLanguage, English]
  • A. hasRepresentativeLanguage
    Indicates that an entity is associated with a language that serves as its primary or officially recognized means of representation or communication.
  • B. hasPrimaryLanguageOfOperations
    Indicates that an entity conducts its main activities or operations primarily using a specified language.
  • C. hasLanguageOfCorporateDisclosure chosen
    Indicates that an entity uses a specified language in its official corporate disclosures or filings.
  • D. languageOfCommunications
    Indicates that a specified language is used as the medium for communications associated with an entity or interaction.
  • E. hasLanguageOfSurroundingCountries
    Indicates that an entity uses or includes the languages commonly spoken in the countries that geographically surround it.
  • 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_69ca828c474c8190a254d6499871eaff completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb39fef2e48190a6282c217c33c57a completed March 31, 2026, 3:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5ba51ee48190b654a931da2c049f completed March 31, 2026, 5:29 a.m.
PD Predicate disambiguation batch_69cae92b0cd881908e715a10d3252e83 completed March 30, 2026, 9:20 p.m.
Created at: March 30, 2026, 5 p.m.