Triple

T11303137
Position Surface form Disambiguated ID Type / Status
Subject Sisaala language E267644 entity
Predicate glottologName P6521 FINISHED
Object Sisaala E528359 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: Sisaala | Statement: [Sisaala language, glottologName, Sisaala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sisaala
Context triple: [Sisaala language, glottologName, Sisaala]
  • A. Sissala chosen
    Sissala are an ethnic group of northwestern Ghana, known for their distinct Gur language, agrarian lifestyle, and rich musical and oral traditions.
  • B. Xola
    Xola is a Mexico City Metro station on Line 2 that serves the southern part of the city near the Calzada de Tlalpan corridor.
  • C. Biloela
    Biloela is a rural town in Queensland, Australia, known as an agricultural and administrative centre for the surrounding Central Queensland region.
  • D. Sisulu
    Sisulu is a prominent South African surname most closely associated with anti-apartheid leader Walter Sisulu and his politically influential family.
  • E. Sihala
    Sihala is a settlement in Pakistan located near the Soan River, known primarily for its proximity to this important waterway in the region.
  • 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_69d6aac993a08190a6f36445ebaf9a43 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9a5c3788190ba54eda514b97903 completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69e542df01fc81908539407e20543002 completed April 19, 2026, 9:02 p.m.
Created at: April 8, 2026, 9:32 p.m.