Triple

T11114464
Position Surface form Disambiguated ID Type / Status
Subject Kaba language E262847 entity
Predicate ethnicity P194 FINISHED
Object Kaba
Kaba is an ethnic group in Central Africa known for speaking the Kaba language and maintaining distinct cultural traditions.
E905146 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: Kaba | Statement: [Kaba language, ethnicity, Kaba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaba
Context triple: [Kaba language, ethnicity, Kaba]
  • A. Ngola
    Ngola is an alternative name for the Angolar people, a community of African descent primarily associated with São Tomé and Príncipe.
  • B. Shaki
    Shaki is a historic city in northwestern Azerbaijan known for its rich cultural heritage, traditional architecture, and role as a regional trade and craftsmanship center.
  • C. Kabaena
    Kabaena is an island in Indonesia known for its location off the coast of Sulawesi and its mix of coastal and hilly landscapes.
  • D. Kidal
    Kidal is a remote desert town in northeastern Mali that serves as a key cultural and political center for Tuareg communities in the Adagh region.
  • E. El-Keib
    El-Keib is the surname of Abdurrahim El-Keib, a Libyan academic and politician who served as interim Prime Minister of Libya after the 2011 civil war.
  • 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: Kaba
Triple: [Kaba language, ethnicity, Kaba]
Generated description
Kaba is an ethnic group in Central Africa known for speaking the Kaba language and maintaining distinct cultural traditions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kaba
Target entity description: Kaba is an ethnic group in Central Africa known for speaking the Kaba language and maintaining distinct cultural traditions.
  • A. Ngola
    Ngola is an alternative name for the Angolar people, a community of African descent primarily associated with São Tomé and Príncipe.
  • B. Shaki
    Shaki is a historic city in northwestern Azerbaijan known for its rich cultural heritage, traditional architecture, and role as a regional trade and craftsmanship center.
  • C. Kabaena
    Kabaena is an island in Indonesia known for its location off the coast of Sulawesi and its mix of coastal and hilly landscapes.
  • D. Kidal
    Kidal is a remote desert town in northeastern Mali that serves as a key cultural and political center for Tuareg communities in the Adagh region.
  • E. El-Keib
    El-Keib is the surname of Abdurrahim El-Keib, a Libyan academic and politician who served as interim Prime Minister of Libya after the 2011 civil war.
  • 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_69d6aa9b46cc8190b19f9f0cc45bf322 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79aa637888190935e852281408356 completed April 9, 2026, 12:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69e42d7da99881908d38ea66c37dfb92 completed April 19, 2026, 1:18 a.m.
NEDg Description generation batch_69e42e67724481908bd9e73487a80d44 completed April 19, 2026, 1:22 a.m.
NED2 Entity disambiguation (via description) batch_69e4308103c48190b32ee3047d9a0860 completed April 19, 2026, 1:31 a.m.
Created at: April 8, 2026, 9:27 p.m.