Triple

T2933505
Position Surface form Disambiguated ID Type / Status
Subject Sena E79208 entity
Predicate hasDialect P4251 FINISHED
Object Sena of Tete
Sena of Tete is a regional variety of the Sena Bantu language spoken primarily in and around the Tete province of Mozambique.
 E312712 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 of Tete | Statement: [Sena, hasDialect, Sena of Tete]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sena of Tete
Context triple: [Sena, hasDialect, Sena of Tete]
  • A. Francisco de Biafra Bioko
    Francisco de Biafra Bioko was a historical figure after whom Bioko Island in Equatorial Guinea was named, likely reflecting his significance in the region’s colonial or exploratory history.
  • B. Nadir Afonso
    Nadir Afonso was a Portuguese architect-turned-painter renowned for his geometric abstract art and collaborations with major modernist architects such as Le Corbusier and Oscar Niemeyer.
  • C. Mansa
    Mansa is a city in the Malwa region of Punjab, India, known primarily as an agricultural and cotton-growing center.
  • D. Mandura Gumuz
    Mandura Gumuz is a Gumuz language spoken by the Gumuz people of western Ethiopia.
  • E. Temne
    The Temne are one of the largest ethnic groups in Sierra Leone, known for their rich agricultural traditions, distinct language, and significant influence on the country’s cultural and political life.
  • 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 of Tete
Triple: [Sena, hasDialect, Sena of Tete]
Generated description
Sena of Tete is a regional variety of the Sena Bantu language spoken primarily in and around the Tete province of Mozambique.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sena of Tete
Target entity description: Sena of Tete is a regional variety of the Sena Bantu language spoken primarily in and around the Tete province of Mozambique.
  • A. Francisco de Biafra Bioko
    Francisco de Biafra Bioko was a historical figure after whom Bioko Island in Equatorial Guinea was named, likely reflecting his significance in the region’s colonial or exploratory history.
  • B. Nadir Afonso
    Nadir Afonso was a Portuguese architect-turned-painter renowned for his geometric abstract art and collaborations with major modernist architects such as Le Corbusier and Oscar Niemeyer.
  • C. Mansa
    Mansa is a city in the Malwa region of Punjab, India, known primarily as an agricultural and cotton-growing center.
  • D. Mandura Gumuz
    Mandura Gumuz is a Gumuz language spoken by the Gumuz people of western Ethiopia.
  • E. Temne
    The Temne are one of the largest ethnic groups in Sierra Leone, known for their rich agricultural traditions, distinct language, and significant influence on the country’s cultural and political life.
  • 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_69ad8b0fbab081908f6a61567c045d8d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad983b65f881909b8b7d3dc5c224fd completed March 8, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0867796808190a026c165e759f3ea completed March 10, 2026, 9 p.m.
NEDg Description generation batch_69b0dfcee6608190a5e3608c42e1efa0 completed March 11, 2026, 3:21 a.m.
NED2 Entity disambiguation (via description) batch_69b0e411b7d88190a396f7fe10f86c46 completed March 11, 2026, 3:40 a.m.
Created at: March 8, 2026, 2:56 p.m.