Triple

T15945517
Position Surface form Disambiguated ID Type / Status
Subject Kambaata language E386672 entity
Predicate closelyRelatedTo P37 FINISHED
Object K’abeena language
The K’abeena language is a Cushitic language of Ethiopia spoken by the K’abeena people, closely related to other Highland East Cushitic languages.
 E1185261 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: K’abeena language | Statement: [Kambaata language, closelyRelatedTo, K’abeena language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: K’abeena language
Context triple: [Kambaata language, closelyRelatedTo, K’abeena language]
  • A. Kaxabu language
    The Kaxabu language is an indigenous Formosan language of Taiwan spoken by the Kaxabu people and considered highly endangered.
  • B. Kuteb language
    Kuteb language is a Jukunoid language spoken primarily by the Kuteb people in parts of Nigeria and Cameroon.
  • C. Qabiao language
    The Qabiao language is a lesser-known Kra language spoken by the Qabiao ethnic group in parts of northern Vietnam and southern China.
  • D. Kabba language
    Kabba is a Niger-Congo language of the Adamawa–Ubangi branch spoken primarily in the Central African Republic.
  • E. Kumbewaha language
    The Kumbewaha language is an Austronesian language spoken in Sulawesi, Indonesia, belonging to the Wotu–Wolio subgroup.
  • 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: K’abeena language
Triple: [Kambaata language, closelyRelatedTo, K’abeena language]
Generated description
The K’abeena language is a Cushitic language of Ethiopia spoken by the K’abeena people, closely related to other Highland East Cushitic languages.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: K’abeena language
Target entity description: The K’abeena language is a Cushitic language of Ethiopia spoken by the K’abeena people, closely related to other Highland East Cushitic languages.
  • A. Kaxabu language
    The Kaxabu language is an indigenous Formosan language of Taiwan spoken by the Kaxabu people and considered highly endangered.
  • B. Kuteb language
    Kuteb language is a Jukunoid language spoken primarily by the Kuteb people in parts of Nigeria and Cameroon.
  • C. Qabiao language
    The Qabiao language is a lesser-known Kra language spoken by the Qabiao ethnic group in parts of northern Vietnam and southern China.
  • D. Kabba language
    Kabba is a Niger-Congo language of the Adamawa–Ubangi branch spoken primarily in the Central African Republic.
  • E. Kumbewaha language
    The Kumbewaha language is an Austronesian language spoken in Sulawesi, Indonesia, belonging to the Wotu–Wolio subgroup.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156d0d55c8190af59ff169e8add78 completed April 16, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5beabbc8190977f14c1b3ccdf29 completed May 9, 2026, 10:31 p.m.
NEDg Description generation batch_69ffb677927c8190bd45e7bae5fcf1ed completed May 9, 2026, 10:34 p.m.
NED2 Entity disambiguation (via description) batch_69ffb7468fb88190a56cf1df5bd20f63 completed May 9, 2026, 10:37 p.m.
Created at: April 10, 2026, 4:53 a.m.