Triple

T17193530
Position Surface form Disambiguated ID Type / Status
Subject Temne language E417286 entity
Predicate hasGlottologName P6521 FINISHED
Object Temne E140676 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: Temne | Statement: [Temne language, hasGlottologName, Temne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Temne
Context triple: [Temne language, hasGlottologName, Temne]
  • A. Temne chosen
    The Temne are one of the largest ethnic groups in Sierra Leone, known for their rich agricultural traditions, distinct language, and significant influence on the country’s cultural and political life.
  • B. Issoze-Ngondet
    Issoze-Ngondet is the surname of Emmanuel Issoze-Ngondet, a Gabonese politician who served as Prime Minister of Gabon.
  • C. Ngola Kabangu
    Ngola Kabangu is an Angolan politician who served as a prominent leader of the National Liberation Front of Angola (FNLA), one of the country’s historic liberation movements.
  • D. Madoqua
    Madoqua is a genus of small African antelopes commonly known as dik-diks, characterized by their diminutive size, elongated snouts, and monogamous pair bonds.
  • E. Kgalema
    Kgalema is a South African politician who served as the country's third post-apartheid president and later as deputy president.
  • 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_69d886d6ba8c819093215917b3d01689 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42da93bf88190b60b658087779d36 completed April 19, 2026, 1:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0170e784bc8190a052c4fe87be124a completed May 11, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:38 a.m.