Triple

T23256645
Position Surface form Disambiguated ID Type / Status
Subject Temne E581892 entity
Predicate language P15 FINISHED
Object Temne language NE NERFINISHED

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: Temne language | Statement: [Temne, language, Temne language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Temne language
Context triple: [Temne, language, Temne language]
  • A. Temne language chosen
    Temne is a major Niger-Congo language spoken primarily by the Temne people of Sierra Leone, where it has significantly shaped the country’s linguistic and cultural landscape.
  • B. Tembe language
    The Tembe language is an indigenous Tupi-Guarani language spoken by the Tembé people of northern Brazil.
  • C. Azande language
    Azande language is a Ubangian language spoken primarily by the Azande people across parts of South Sudan, the Central African Republic, and the Democratic Republic of the Congo.
  • D. Bassa-Kontagora language
    The Bassa-Kontagora language is a lesser-known Nupoid language spoken by the Bassa people in parts of central Nigeria.
  • E. Banda-Ndélé language
    The Banda-Ndélé language is a Central Sudanic language spoken by the Banda people, primarily in the Central African Republic.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e246079f58819085eaa9c260906880 completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f194c4905c819099ca21c6529413ac completed April 29, 2026, 5:19 a.m.
Created at: April 17, 2026, 4:11 p.m.