Triple

T17101487
Position Surface form Disambiguated ID Type / Status
Subject Nama language E414989 entity
Predicate hasDialect P4251 FINISHED
Object Southern Nama E1220523 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: Southern Nama | Statement: [Nama language, hasDialect, Southern Nama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Southern Nama
Context triple: [Nama language, hasDialect, Southern Nama]
  • A. southern Namibia
    Southern Namibia is an arid region of Namibia characterized by desert landscapes, sparse vegetation, and a predominantly dry climate.
  • B. Namaqua chosen
    Namaqua is an alternate name for the Nama people, an Indigenous Khoikhoi ethnic group primarily inhabiting parts of Namibia, Botswana, and South Africa.
  • C. Western Kalahari Khoe
    Western Kalahari Khoe is a subgroup of the Khoe languages spoken by Khoe-speaking communities in the western Kalahari region of southern Africa.
  • D. Namakwa region
    The Namakwa region is a sparsely populated area in South Africa’s Northern Cape known for its arid landscapes, rich Nama cultural heritage, and spectacular spring wildflower displays.
  • E. Southwestern South Africa
    Southwestern South Africa is a coastal part of the country encompassing areas around Cape Town, known for its Mediterranean climate, mountainous landscapes, and wine-producing regions.
  • 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dc239a088190a776fe0f4361ffc7 completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a014143edb081909509c5435d392dd0 completed May 11, 2026, 2:39 a.m.
Created at: April 10, 2026, 5:35 a.m.