Triple

T16567871
Position Surface form Disambiguated ID Type / Status
Subject Mandara language E402508 entity
Predicate glottologName P6521 FINISHED
Object Wandala E1221464 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: Wandala | Statement: [Mandara language, glottologName, Wandala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wandala
Context triple: [Mandara language, glottologName, Wandala]
  • A. Wandala chosen
    Wandala is an Afro-Asiatic language spoken primarily in northern Cameroon and parts of Nigeria, associated with the Mandara (Wandala) ethnic group.
  • B. Zamdela
    Zamdela is a township suburb of Sasolburg in South Africa, primarily serving as a residential area for workers in the nearby industrial and petrochemical complexes.
  • C. Oshikwanyama
    Oshikwanyama is a Bantu language variety spoken primarily in northern Namibia and southern Angola, recognized as one of the major dialects of Oshiwambo.
  • D. Titwala
    Titwala is a suburban town in the Thane district of Maharashtra, India, known for its Siddhivinayak Mahaganapati Temple and connectivity to Mumbai via the suburban railway network.
  • E. Mutengene
    Mutengene is a town in southwestern Cameroon known as a key road junction linking the coastal city of Limbe with Buea and other inland areas.
  • 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_69d8838648088190acf97ef11fc3f61b completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e35772f6608190a125c7d3c199c3e2 completed April 18, 2026, 10:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a007da4b60c8190a682d20aa881792c completed May 10, 2026, 12:44 p.m.
Created at: April 10, 2026, 5:16 a.m.