Triple

T6701129
Position Surface form Disambiguated ID Type / Status
Subject Eastern Bantu E152879 entity
Predicate hasMemberLanguage P7390 FINISHED
Object Bena language
The Bena language is a Bantu language spoken primarily by the Bena people of southern Tanzania.
 E614315 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: Bena language | Statement: [Eastern Bantu, hasMemberLanguage, Bena language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bena language
Context triple: [Eastern Bantu, hasMemberLanguage, Bena language]
  • A. Baniwa language
    Baniwa is an Arawakan Indigenous language spoken primarily along the Rio Negro in northwestern Brazil, as well as in parts of Colombia and Venezuela.
  • B. Bajelani language
    The Bajelani language is a lesser-known Northwestern Iranian language spoken primarily by Kurdish communities in parts of Iraq and Iran.
  • C. Bini language
    Bini language is an Edoid language of southern Nigeria, primarily spoken by the Edo (Bini) people around Benin City.
  • D. Bintauna language
    The Bintauna language is an Austronesian language spoken by the Bintauna people in North Sulawesi, Indonesia.
  • E. Benga language
    The Benga language is a Bantu language of the Niger-Congo family traditionally spoken by the Benga people in coastal areas of Equatorial Guinea and nearby islands.
  • 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: Bena language
Triple: [Eastern Bantu, hasMemberLanguage, Bena language]
Generated description
The Bena language is a Bantu language spoken primarily by the Bena people of southern Tanzania.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bena language
Target entity description: The Bena language is a Bantu language spoken primarily by the Bena people of southern Tanzania.
  • A. Baniwa language
    Baniwa is an Arawakan Indigenous language spoken primarily along the Rio Negro in northwestern Brazil, as well as in parts of Colombia and Venezuela.
  • B. Bajelani language
    The Bajelani language is a lesser-known Northwestern Iranian language spoken primarily by Kurdish communities in parts of Iraq and Iran.
  • C. Bini language
    Bini language is an Edoid language of southern Nigeria, primarily spoken by the Edo (Bini) people around Benin City.
  • D. Bintauna language
    The Bintauna language is an Austronesian language spoken by the Bintauna people in North Sulawesi, Indonesia.
  • E. Benga language
    The Benga language is a Bantu language of the Niger-Congo family traditionally spoken by the Benga people in coastal areas of Equatorial Guinea and nearby islands.
  • 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_69c68807adbc8190b8632df42b39eda0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d0e4a1848190997520ddd7808cc6 completed March 27, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70081395c8190921636db5cfa096a completed March 27, 2026, 10:11 p.m.
NEDg Description generation batch_69c704f464f88190be8163b2dfd32bcf completed March 27, 2026, 10:30 p.m.
NED2 Entity disambiguation (via description) batch_69c705db3098819083ce9a93e429b758 completed March 27, 2026, 10:34 p.m.
Created at: March 27, 2026, 2:05 p.m.