Triple

T13219060
Position Surface form Disambiguated ID Type / Status
Subject Sena–Nyanja languages E314699 entity
Predicate glottologName P6521 FINISHED
Object Sena–Nyanja
Sena–Nyanja is a subgroup of closely related Bantu languages spoken primarily in parts of Mozambique, Malawi, and neighboring regions of southeastern Africa.
 E1028426 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: Sena–Nyanja | Statement: [Sena–Nyanja languages, glottologName, Sena–Nyanja]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sena–Nyanja
Context triple: [Sena–Nyanja languages, glottologName, Sena–Nyanja]
  • A. Lugazi
    Lugazi is a town in central Uganda known for its sugar plantations and location along the Kampala–Jinja highway.
  • B. Kalambo
    Kalambo is an agricultural research station site in the Lake Tanganyika region of Tanzania, known for supporting tropical crop and farming systems research.
  • C. Sabaki
    Sabaki is a town in Kenya that serves as the main urban center near the Athi River settlements.
  • D. Ruhuhu River
    The Ruhuhu River is a major river in southwestern Tanzania that drains the highlands and flows eastward into Lake Malawi, contributing significantly to the lake’s water system.
  • E. Sabaki River
    The Sabaki River is one of Kenya’s major rivers, flowing from the central highlands to the Indian Ocean and supporting important ecosystems and communities along its course.
  • 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: Sena–Nyanja
Triple: [Sena–Nyanja languages, glottologName, Sena–Nyanja]
Generated description
Sena–Nyanja is a subgroup of closely related Bantu languages spoken primarily in parts of Mozambique, Malawi, and neighboring regions of southeastern Africa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sena–Nyanja
Target entity description: Sena–Nyanja is a subgroup of closely related Bantu languages spoken primarily in parts of Mozambique, Malawi, and neighboring regions of southeastern Africa.
  • A. Lugazi
    Lugazi is a town in central Uganda known for its sugar plantations and location along the Kampala–Jinja highway.
  • B. Kalambo
    Kalambo is an agricultural research station site in the Lake Tanganyika region of Tanzania, known for supporting tropical crop and farming systems research.
  • C. Sabaki
    Sabaki is a town in Kenya that serves as the main urban center near the Athi River settlements.
  • D. Ruhuhu River
    The Ruhuhu River is a major river in southwestern Tanzania that drains the highlands and flows eastward into Lake Malawi, contributing significantly to the lake’s water system.
  • E. Sabaki River
    The Sabaki River is one of Kenya’s major rivers, flowing from the central highlands to the Indian Ocean and supporting important ecosystems and communities along its course.
  • 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_69d806affc688190a25b6ccc588e9c72 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98cf392e08190949ee4d194566395 completed April 10, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff2085f88190be8cfc309d21f9cb completed May 3, 2026, 7:54 a.m.
NEDg Description generation batch_69f7036009808190aea595cd542e0cf1 completed May 3, 2026, 8:12 a.m.
NED2 Entity disambiguation (via description) batch_69f7040e32a4819083a9f4efe96fd9ca completed May 3, 2026, 8:15 a.m.
Created at: April 9, 2026, 9:18 p.m.