Triple

T11469068
Position Surface form Disambiguated ID Type / Status
Subject Khoi-San E271853 entity
Predicate hasSubgroup P747 FINISHED
Object Haiǁom
The Haiǁom are an indigenous Khoisan-speaking people of Namibia, traditionally known as hunter-gatherers closely associated with the Etosha region.
 E927241 NE FINISHED

How this triple was built (4 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: Haiǁom | Statement: [Khoi-San, hasSubgroup, Haiǁom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Haiǁom
Context triple: [Khoi-San, hasSubgroup, Haiǁom]
  • A. Ndau
    Ndau is a Southern Bantu language spoken primarily in central Mozambique and eastern Zimbabwe, closely related to Shona.
  • B. Inibaloi
    Inibaloi is an Austronesian language spoken by the Ibaloi people of the northern Philippines, particularly in Benguet province on Luzon.
  • C. Dagomba
    Dagomba refers to an ethnic group primarily found in northern Ghana, known for their rich cultural traditions, chieftaincy system, and use of the Dagbani language.
  • D. Munduruku
    Munduruku is an indigenous people of the Brazilian Amazon known for their distinct language, rich cultural traditions, and historical prominence along the Tapajós River.
  • E. Ongé
    Ongé is a dialectal variety of the Duala language spoken by a specific subgroup of the Duala people in Cameroon.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Haiǁom
Triple: [Khoi-San, hasSubgroup, Haiǁom]
Generated description
The Haiǁom are an indigenous Khoisan-speaking people of Namibia, traditionally known as hunter-gatherers closely associated with the Etosha region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Haiǁom
Target entity description: The Haiǁom are an indigenous Khoisan-speaking people of Namibia, traditionally known as hunter-gatherers closely associated with the Etosha region.
  • A. Ndau
    Ndau is a Southern Bantu language spoken primarily in central Mozambique and eastern Zimbabwe, closely related to Shona.
  • B. Inibaloi
    Inibaloi is an Austronesian language spoken by the Ibaloi people of the northern Philippines, particularly in Benguet province on Luzon.
  • C. Dagomba
    Dagomba refers to an ethnic group primarily found in northern Ghana, known for their rich cultural traditions, chieftaincy system, and use of the Dagbani language.
  • D. Munduruku
    Munduruku is an indigenous people of the Brazilian Amazon known for their distinct language, rich cultural traditions, and historical prominence along the Tapajós River.
  • E. Ongé
    Ongé is a dialectal variety of the Duala language spoken by a specific subgroup of the Duala people in Cameroon.
  • F. None of above. chosen

Provenance (5 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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d822f74144819094479690c8151073 completed April 9, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5e94ea4748190b375e644b2f1a46c completed April 20, 2026, 8:52 a.m.
NEDg Description generation batch_69e5f15a50b881908d0930021833ae74 completed April 20, 2026, 9:26 a.m.
NED2 Entity disambiguation (via description) batch_69e5f88f16748190826a7fc5d27019d7 completed April 20, 2026, 9:57 a.m.
Created at: April 8, 2026, 9:35 p.m.