Triple

T6143217
Position Surface form Disambiguated ID Type / Status
Subject J. H. Frankland E137011 entity
Predicate languageOfScientificWork P17914 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: [J. H. Frankland, languageOfScientificWork, English]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: English
Context triple: [J. H. Frankland, languageOfScientificWork, 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: languageOfScientificWork
Context triple: [J. H. Frankland, languageOfScientificWork, English]
  • A. languageOfParentWork
    Indicates that the specified language is the language in which the parent (original or containing) work is expressed.
  • B. doctoralThesisLanguage
    Indicates the language in which a doctoral thesis is written or formally presented.
  • C. languageOfAwardingInstitution
    Indicates the language in which the awarding institution formally grants or documents the award.
  • D. citationLanguage
    Indicates the language in which a cited work or reference is written or presented.
  • E. languageOfWritings chosen
    Indicates that a specified language is the one in which certain writings or written works are composed.
  • 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_69c008a2c6308190a56519b22d55d083 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05cb50cb0819081ac64becf7aaf55 completed March 22, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c135c44f008190bdef195511fe1111 completed March 23, 2026, 12:44 p.m.
PD Predicate disambiguation batch_69c055f39e0881909ae56444b1b48929 completed March 22, 2026, 8:49 p.m.
Created at: March 22, 2026, 4:16 p.m.