Triple

T19660354
Position Surface form Disambiguated ID Type / Status
Subject Lubero Territory E472062 entity
Predicate hasLanguage P15 FINISHED
Object Kinande
Kinande is a Bantu language spoken primarily by the Nande people in the eastern Democratic Republic of the Congo.
 E1388436 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: Kinande | Statement: [Lubero Territory, hasLanguage, Kinande]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kinande
Context triple: [Lubero Territory, hasLanguage, Kinande]
  • A. Kachingwe
    Kachingwe is the surname of American singer, songwriter, and actress Tinashe, reflecting her Zimbabwean heritage.
  • B. Kandia
    Kandia is a remote valley and settlement area located within Pakistan’s Kohistan mountain ranges, known for its rugged terrain and isolated communities.
  • C. Kandan
    Kandan is a locality within Beijing’s Fengtai District, known primarily as a residential and urban neighborhood area.
  • D. Kandau
    Kandau is a town in present-day Latvia historically known as the birthplace of the German experimental psychologist Oswald Külpe.
  • E. Khanke
    Khanke is a village in northern Iraq’s Kurdistan Region, known for hosting large camps for internally displaced Yazidis who fled ISIS violence.
  • 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: Kinande
Triple: [Lubero Territory, hasLanguage, Kinande]
Generated description
Kinande is a Bantu language spoken primarily by the Nande people in the eastern Democratic Republic of the Congo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kinande
Target entity description: Kinande is a Bantu language spoken primarily by the Nande people in the eastern Democratic Republic of the Congo.
  • A. Kachingwe
    Kachingwe is the surname of American singer, songwriter, and actress Tinashe, reflecting her Zimbabwean heritage.
  • B. Kandia
    Kandia is a remote valley and settlement area located within Pakistan’s Kohistan mountain ranges, known for its rugged terrain and isolated communities.
  • C. Kandan
    Kandan is a locality within Beijing’s Fengtai District, known primarily as a residential and urban neighborhood area.
  • D. Kandau
    Kandau is a town in present-day Latvia historically known as the birthplace of the German experimental psychologist Oswald Külpe.
  • E. Khanke
    Khanke is a village in northern Iraq’s Kurdistan Region, known for hosting large camps for internally displaced Yazidis who fled ISIS violence.
  • 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_69d8e51395348190ac1416d46dfc6db0 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e6414993ac8190b6da3702b1924b24 completed April 20, 2026, 3:07 p.m.
NED1 Entity disambiguation (via context triple) batch_6a077ef5e3108190b2f7f05a01f81fc1 completed May 15, 2026, 8:15 p.m.
NEDg Description generation batch_6a07801618c88190a4073957960b36c6 completed May 15, 2026, 8:20 p.m.
NED2 Entity disambiguation (via description) batch_6a0780f798888190847de6b2951d879b completed May 15, 2026, 8:24 p.m.
Created at: April 10, 2026, 1:45 p.m.