Triple

T10247875
Position Surface form Disambiguated ID Type / Status
Subject Njebi E240263 entity
Predicate closelyRelatedTo P37 FINISHED
Object Tsogo
Tsogo is a Bantu language of Central Africa, spoken primarily in Gabon and closely related to Njebi.
 E853702 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: Tsogo | Statement: [Njebi, closelyRelatedTo, Tsogo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tsogo
Context triple: [Njebi, closelyRelatedTo, Tsogo]
  • A. Mazabuka
    Mazabuka is a town in southern Zambia known for its sugar industry and agricultural production.
  • B. Tlokwa
    Tlokwa is a Sotho–Tswana-speaking ethnic group in Southern Africa, historically organized into chiefdoms and known for its distinct cultural and linguistic identity within the broader Sotho–Tswana peoples.
  • C. Soshangane
    Soshangane was a 19th-century Nguni military leader who founded the Gaza Empire in southeastern Africa during the upheavals of the Mfecane.
  • D. Kwaluudhi
    Kwaluudhi is a dialect of the Ovambo language spoken by a specific Ovambo subgroup in northern Namibia.
  • E. 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.
  • 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: Tsogo
Triple: [Njebi, closelyRelatedTo, Tsogo]
Generated description
Tsogo is a Bantu language of Central Africa, spoken primarily in Gabon and closely related to Njebi.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tsogo
Target entity description: Tsogo is a Bantu language of Central Africa, spoken primarily in Gabon and closely related to Njebi.
  • A. Mazabuka
    Mazabuka is a town in southern Zambia known for its sugar industry and agricultural production.
  • B. Tlokwa
    Tlokwa is a Sotho–Tswana-speaking ethnic group in Southern Africa, historically organized into chiefdoms and known for its distinct cultural and linguistic identity within the broader Sotho–Tswana peoples.
  • C. Soshangane
    Soshangane was a 19th-century Nguni military leader who founded the Gaza Empire in southeastern Africa during the upheavals of the Mfecane.
  • D. Kwaluudhi
    Kwaluudhi is a dialect of the Ovambo language spoken by a specific Ovambo subgroup in northern Namibia.
  • E. 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.
  • 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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d22e0d4c8190a6712859924e9d3d completed April 7, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f7ade8448190830d950b7cee0c34 completed April 9, 2026, 12:49 a.m.
NEDg Description generation batch_69d6fa303d4c8190b9f1c3addf7d8b09 completed April 9, 2026, 1 a.m.
NED2 Entity disambiguation (via description) batch_69d6ff301d488190b18f1e02bbf1dada completed April 9, 2026, 1:21 a.m.
Created at: April 6, 2026, 11:27 a.m.