Triple

T6334236
Position Surface form Disambiguated ID Type / Status
Subject Jarawan Bantu E142451 entity
Predicate hasMemberLanguage P7390 FINISHED
Object Zumbun
Zumbun is a lesser-known Jarawan Bantu language spoken by a small community in Nigeria.
E586686 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: Zumbun | Statement: [Jarawan Bantu, hasMemberLanguage, Zumbun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zumbun
Context triple: [Jarawan Bantu, hasMemberLanguage, Zumbun]
  • A. Zemba
    Zemba is a Bantu language variety spoken primarily in southwestern Angola and northern Namibia, closely related to and often considered a dialect of Herero.
  • B. Zunz
    Zunz is a German-Jewish surname most prominently associated with Leopold Zunz, a pioneering 19th-century scholar of Jewish studies and founder of the "Science of Judaism" movement.
  • C. Musanze
    Musanze is a major town in northern Rwanda that serves as the primary gateway for tourists visiting Volcanoes National Park and its mountain gorillas.
  • D. Nzem Berom
    Nzem Berom is a major annual cultural festival of the Berom people of Nigeria, showcasing their traditional music, dance, attire, and heritage.
  • E. Mandura Gumuz
    Mandura Gumuz is a Gumuz language spoken by the Gumuz people of western Ethiopia.
  • 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: Zumbun
Triple: [Jarawan Bantu, hasMemberLanguage, Zumbun]
Generated description
Zumbun is a lesser-known Jarawan Bantu language spoken by a small community in Nigeria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Zumbun
Target entity description: Zumbun is a lesser-known Jarawan Bantu language spoken by a small community in Nigeria.
  • A. Zemba
    Zemba is a Bantu language variety spoken primarily in southwestern Angola and northern Namibia, closely related to and often considered a dialect of Herero.
  • B. Zunz
    Zunz is a German-Jewish surname most prominently associated with Leopold Zunz, a pioneering 19th-century scholar of Jewish studies and founder of the "Science of Judaism" movement.
  • C. Musanze
    Musanze is a major town in northern Rwanda that serves as the primary gateway for tourists visiting Volcanoes National Park and its mountain gorillas.
  • D. Nzem Berom
    Nzem Berom is a major annual cultural festival of the Berom people of Nigeria, showcasing their traditional music, dance, attire, and heritage.
  • E. Mandura Gumuz
    Mandura Gumuz is a Gumuz language spoken by the Gumuz people of western Ethiopia.
  • 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_69c008d4d8e88190ad301c05b08722ac completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06549084c8190b73fd94c9e0cb302 completed March 22, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c60424a5dc8190820970fce13776ac completed March 27, 2026, 4:14 a.m.
NEDg Description generation batch_69c60626724881908e6270c2d3652c16 completed March 27, 2026, 4:23 a.m.
NED2 Entity disambiguation (via description) batch_69c606bd2228819082fcb63493664927 completed March 27, 2026, 4:25 a.m.
Created at: March 22, 2026, 4:30 p.m.