Triple

T11578369
Position Surface form Disambiguated ID Type / Status
Subject Atlantic languages E274561 entity
Predicate hasNotableLanguage P7390 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: [Atlantic languages, hasNotableLanguage, Temne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Temne
Context triple: [Atlantic languages, hasNotableLanguage, 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_69d6aae5ac3c81908d2b0a3a665665b2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8904b46288190890ecafd6ceb0c3d completed April 10, 2026, 5:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69e8a78d80448190a93ca0ebfbd7e3a4 completed April 22, 2026, 10:48 a.m.
Created at: April 8, 2026, 9:38 p.m.