Triple

T16033623
Position Surface form Disambiguated ID Type / Status
Subject Gamo-Gofa-Dawro E388910 entity
Predicate closelyRelatedTo P37 FINISHED
Object Gamo language E511080 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: Gamo language | Statement: [Gamo-Gofa-Dawro, closelyRelatedTo, Gamo language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gamo language
Context triple: [Gamo-Gofa-Dawro, closelyRelatedTo, Gamo language]
  • A. Gamo language chosen
    The Gamo language is an Omotic language of southwestern Ethiopia spoken by the Gamo people and closely related to neighboring Wolaytta.
  • B. Ghomara language
    The Ghomara language is a lesser-known Berber language spoken by the Ghomara people in northern Morocco.
  • C. Pokomo language
    The Pokomo language is a Bantu language spoken primarily by the Pokomo people along Kenya’s Tana River.
  • D. Patamona language
    The Patamona language is an indigenous Cariban language spoken by the Patamona people of the Guiana Highlands in Guyana and northern Brazil.
  • E. Ghomáláʼ language
    Ghomáláʼ is a major Bantu language of the Grassfields region in western Cameroon, spoken primarily by the Bamiléké people and known for its rich tonal system.
  • 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_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1833a5aa88190a5cc3f82d55f5b62 completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf373f548190abfc93aa238b97fd completed May 10, 2026, 12:20 a.m.
Created at: April 10, 2026, 4:56 a.m.