Triple

T6353955
Position Surface form Disambiguated ID Type / Status
Subject Clément E142943 entity
Predicate equivalentLanguage P28329 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: [Clément, equivalentLanguage, English]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: English
Context triple: [Clément, equivalentLanguage, 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: equivalentLanguage
Context triple: [Clément, equivalentLanguage, English]
  • A. languageEquivalent chosen
    Indicates that two linguistic expressions convey the same meaning or function across different languages or language varieties.
  • B. alternateLanguageName
    Indicates that an entity has an additional name or label in a different language from its primary or default name.
  • C. isLanguageOf
    Indicates that a particular language is used as the official or primary language associated with a given entity (such as a person, document, or region).
  • D. closelyAssociatedLanguage
    Indicates that one language is closely connected to another, such as through frequent co-use, mutual influence, or strong cultural or regional association.
  • E. isLinguaFrancaOf
    Indicates that a language serves as a common medium of communication between speakers of different native languages within a particular region, community, or context.
  • 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_69c008d6dcbc8190aa1c2f1fd8916b42 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c067e0cf1081908ee7e83b9dcf740e completed March 22, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c604154a1c8190b09e74cea2a18624 completed March 27, 2026, 4:14 a.m.
PD Predicate disambiguation batch_69c060ec091c8190912aac44e1b8b1c9 completed March 22, 2026, 9:36 p.m.
Created at: March 22, 2026, 4:31 p.m.