Triple

T13576393
Position Surface form Disambiguated ID Type / Status
Subject Bekwarra people E324296 entity
Predicate language P15 FINISHED
Object Bekwarra language
The Bekwarra language is a Niger-Congo language spoken primarily by the Bekwarra people of Cross River State in southeastern Nigeria.
E1049059 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: Bekwarra language | Statement: [Bekwarra people, language, Bekwarra language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bekwarra language
Context triple: [Bekwarra people, language, Bekwarra language]
  • A. Bwekar language
    The Bwekar language is a lesser-known Gbaya language spoken by a subgroup of the Gbaya people in Central Africa.
  • B. Bafia language
    The Bafia language is a Bantu language spoken primarily by the Bafia people in central Cameroon.
  • C. Bwaka language
    The Bwaka language is a Central Sudanic language of the Gbaya group spoken by the Bwaka people in parts of Central Africa.
  • D. Aka-Bea language
    The Aka-Bea language is an extinct indigenous tongue once spoken by the Great Andamanese Aka-Bea people of the Andaman Islands in the Bay of Bengal.
  • E. Teke-Kukuya language
    The Teke-Kukuya language is a Bantu language spoken by the Teke-Kukuya people in the Republic of the Congo and neighboring regions of Central Africa.
  • 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: Bekwarra language
Triple: [Bekwarra people, language, Bekwarra language]
Generated description
The Bekwarra language is a Niger-Congo language spoken primarily by the Bekwarra people of Cross River State in southeastern Nigeria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bekwarra language
Target entity description: The Bekwarra language is a Niger-Congo language spoken primarily by the Bekwarra people of Cross River State in southeastern Nigeria.
  • A. Bwekar language
    The Bwekar language is a lesser-known Gbaya language spoken by a subgroup of the Gbaya people in Central Africa.
  • B. Bafia language
    The Bafia language is a Bantu language spoken primarily by the Bafia people in central Cameroon.
  • C. Bwaka language
    The Bwaka language is a Central Sudanic language of the Gbaya group spoken by the Bwaka people in parts of Central Africa.
  • D. Aka-Bea language
    The Aka-Bea language is an extinct indigenous tongue once spoken by the Great Andamanese Aka-Bea people of the Andaman Islands in the Bay of Bengal.
  • E. Teke-Kukuya language
    The Teke-Kukuya language is a Bantu language spoken by the Teke-Kukuya people in the Republic of the Congo and neighboring regions of Central Africa.
  • 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_69d80769100c819099111274614f5ed2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb02de1988190af2d473973ecd529 completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76bba21f88190b8952fb0879e623d completed May 3, 2026, 3:37 p.m.
NEDg Description generation batch_69f77641e5308190a75bcffeb9bfd7b4 completed May 3, 2026, 4:22 p.m.
NED2 Entity disambiguation (via description) batch_69f7792110e48190a29b6e89c6ebcc03 completed May 3, 2026, 4:34 p.m.
Created at: April 9, 2026, 9:48 p.m.