Triple

T4159073
Position Surface form Disambiguated ID Type / Status
Subject Guinean Pidgin English E91485 entity
Predicate coexistsWith P1867 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: [Guinean Pidgin English, coexistsWith, Fang language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fang language
Context triple: [Guinean Pidgin English, coexistsWith, 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. Defaka language
    The Defaka language is a highly endangered Niger-Congo language spoken by a small community in Nigeria’s Niger Delta region.
  • 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_69aed9626ebc8190a39de631788bea3e completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af0292baf88190a51156b63672ae38 completed March 9, 2026, 5:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69b59611f8548190a47638bcd95e1541 completed March 14, 2026, 5:08 p.m.
Created at: March 9, 2026, 3:44 p.m.