Triple

T3874528
Position Surface form Disambiguated ID Type / Status
Subject Okak E92466 entity
Predicate isDialectOf P4251 FINISHED
Object Fang language E14619 NE 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: Fang language | Statement: [Okak, isDialectOf, Fang language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fang language
Context triple: [Okak, isDialectOf, Fang language]
  • A. Fang language chosen
    Fang is a Bantu language spoken primarily by the Fang people of Equatorial Guinea, Gabon, and Cameroon, notable for its significant influence on local varieties of Spanish and French.
  • B. Damara language
    The Damara language is a Khoe (Central Khoisan) language spoken primarily by the Damara people of Namibia.
  • C. Hoanya language
    The Hoanya language is an extinct Austronesian language once spoken by the Hoanya people of western Taiwan and classified among the indigenous Formosan languages.
  • D. Vogul language
    Vogul language is an Uralic language of the Ob-Ugric branch spoken by the Mansi people in western Siberia.
  • E. Tobian language
    The Tobian language is a Micronesian language spoken primarily on Tobi Island in Palau, known for its small speaker population and close relation to other Carolinean languages.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69aed967448c819086c4b358d37b25aa completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec59bea08190b1e193f34944a2ee completed March 9, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51c83512c81908db2e442b7d2aca0 completed March 14, 2026, 8:29 a.m.
Created at: March 9, 2026, 3:20 p.m.