Triple

T16567943
Position Surface form Disambiguated ID Type / Status
Subject Bura E402509 entity
Predicate hasOrthographicStandardizationEffortsBy P10346 FINISHED
Object local language committees in Nigeria LITERAL FINISHED

How this triple was built (2 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: local language committees in Nigeria | Statement: [Bura, hasOrthographicStandardizationEffortsBy, local language committees in Nigeria]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasOrthographicStandardizationEffortsBy
Context triple: [Bura, hasOrthographicStandardizationEffortsBy, local language committees in Nigeria]
  • A. hasStandardOrthographySince
    Indicates that a language or writing system has used a particular standardized orthography starting from a specified point in time.
  • B. usesStandardOrthographyOf
    Indicates that one entity writes or represents language according to the standard orthographic system defined for another entity.
  • C. hasOfficialOrthography
    Indicates that an entity has a formally recognized and standardized system for writing its language or name.
  • D. hasOrthographicReform chosen
    Indicates that an entity has undergone or is associated with a change or standardization in its writing system or spelling conventions.
  • E. hasPhonologicalStandard
    Indicates that one entity serves as the accepted or prescribed phonological norm or standard for the pronunciation system of 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_69d8838648088190acf97ef11fc3f61b completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e35772f6608190a125c7d3c199c3e2 completed April 18, 2026, 10:05 a.m.
PD Predicate disambiguation batch_69e296a47b7481909d9958158510c806 completed April 17, 2026, 8:23 p.m.
Created at: April 10, 2026, 5:16 a.m.