Triple

T20564926
Position Surface form Disambiguated ID Type / Status
Subject Republican Spelling E504942 entity
Predicate follows P134 FINISHED
Object Van Ophuijsen Spelling System — 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: Van Ophuijsen Spelling System | Statement: [Republican Spelling, follows, Van Ophuijsen Spelling System]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Van Ophuijsen Spelling System
Context triple: [Republican Spelling, follows, Van Ophuijsen Spelling System]
  • A. Mistralian orthography
    Mistralian orthography is a spelling system for the Occitan language, devised by poet Frédéric Mistral and characterized by its French-influenced conventions.
  • B. Hakka Romanization System
    The Hakka Romanization System is a standardized method of writing the Hakka Chinese language using the Latin alphabet to represent its sounds and tones.
  • C. Akan unified orthography
    Akan unified orthography is a standardized writing system designed to harmonize the spelling and representation of the various Akan language varieties, including Twi and Fante.
  • D. Ślabikorz orthography
    Ślabikorz orthography is a standardized writing system developed for the Silesian language, aiming to provide a consistent and practical way to represent its phonetics and support its use in education and literature.
  • E. Qubee orthography
    Qubee orthography is the Latin-based writing system used for the Oromo language, standardized in the early 1990s.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Van Ophuijsen Spelling System
Target entity description: The Van Ophuijsen Spelling System is an early standardized orthography for the Indonesian language, used during the Dutch colonial period and later replaced by more modern spelling reforms.
  • A. Mistralian orthography
    Mistralian orthography is a spelling system for the Occitan language, devised by poet Frédéric Mistral and characterized by its French-influenced conventions.
  • B. Hakka Romanization System
    The Hakka Romanization System is a standardized method of writing the Hakka Chinese language using the Latin alphabet to represent its sounds and tones.
  • C. Akan unified orthography
    Akan unified orthography is a standardized writing system designed to harmonize the spelling and representation of the various Akan language varieties, including Twi and Fante.
  • D. Ślabikorz orthography
    Ślabikorz orthography is a standardized writing system developed for the Silesian language, aiming to provide a consistent and practical way to represent its phonetics and support its use in education and literature.
  • E. Qubee orthography
    Qubee orthography is the Latin-based writing system used for the Oromo language, standardized in the early 1990s.
  • F. None of above. chosen

Provenance (2 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_69e0b4b6587c8190aee63dc7cff244ea completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a7a15c988190ba93823df119ca4d completed April 20, 2026, 10:24 p.m.
Created at: April 16, 2026, 11:39 a.m.