Triple

T22180825
Position Surface form Disambiguated ID Type / Status
Subject ANSI X3.74-1987 E548162 entity
Predicate languageDefined P13426 FINISHED
Object English NE NERFINISHED

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: [ANSI X3.74-1987, languageDefined, English]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: English
Context triple: [ANSI X3.74-1987, languageDefined, 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. English
    English refers to the people, language, and cultural identity originating from England and historically associated with the broader Anglo-Saxon and later British heritage.
  • C. Inglis
    Inglis is a surname most prominently associated with Australian rugby league star Greg Inglis.
  • D. ENG
    ENG is the three-letter FIFA country code used to represent the England national football team in international competitions and official records.
  • E. Ingliste
    Ingliste is a small village located in Rapla County in western Estonia.
  • 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: languageDefined
Context triple: [ANSI X3.74-1987, languageDefined, English]
  • A. languageDesigned
    Indicates that one entity created or developed the language used or associated with another entity.
  • B. languageCategory
    Indicates the classification relationship where a language is assigned to a particular linguistic or functional category.
  • C. languageName chosen
    Indicates the specific name assigned to a language in the relationship.
  • D. languageSpecifies
    Indicates that one entity defines or constrains the syntax, semantics, or usage rules that govern how another language or linguistic system is expressed or interpreted.
  • E. languageProvision
    Indicates that one entity supplies, supports, or makes available a particular language (or set of languages) for use by another entity.
  • 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_69e11e3d53f88190a2b690e3f25bb062 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12aa4d4ac8190922b919c15623963 completed April 28, 2026, 9:46 p.m.
PD Predicate disambiguation batch_69e71b48576c8190a8e93738fd9cfda5 completed April 21, 2026, 6:38 a.m.
Created at: April 16, 2026, 8:35 p.m.