Triple

T12111313
Position Surface form Disambiguated ID Type / Status
Subject Gokana E288436 entity
Predicate primaryLanguage P238 FINISHED
Object Gokana language E965013 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: Gokana language | Statement: [Gokana, primaryLanguage, Gokana language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gokana language
Context triple: [Gokana, primaryLanguage, Gokana language]
  • A. Gokana language chosen
    Gokana language is a Niger-Congo language spoken by the Gokana people of Rivers State in Nigeria and is one of the principal Ogoni languages.
  • B. Gofa language
    The Gofa language is an Omotic language of southwestern Ethiopia spoken by the Gofa people and closely related to Wolaytta.
  • C. Konda-Dora language
    Konda-Dora language is a Dravidian tribal language spoken primarily by the Konda Dora people in parts of Andhra Pradesh and Odisha in India.
  • D. Gorowa language
    The Gorowa language is a South Cushitic language of Tanzania spoken by the Gorowa people and closely related to the Iraqw language.
  • E. Gura language
    The Gura language is an Ethiopian Semitic language spoken by the Gurage people in central Ethiopia.
  • 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_69d6ab4a5c448190a110d1273314b21a completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9156709288190b4684cb19037dc38 completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e46d588819086bfde1b544cab82 completed May 2, 2026, 3:54 p.m.
Created at: April 8, 2026, 9:49 p.m.