Triple

T6640219
Position Surface form Disambiguated ID Type / Status
Subject Nyang languages E150567 entity
Predicate hasMember P10 FINISHED
Object Bacheve language
The Bacheve language is a Bantu language of the Nyang group spoken by the Bacheve people in parts of Central Africa.
 E599036 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: Bacheve language | Statement: [Nyang languages, hasMember, Bacheve language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bacheve language
Context triple: [Nyang languages, hasMember, Bacheve language]
  • A. Belhare language
    The Belhare language is a Kiranti language of the Sino-Tibetan family spoken by the Belhare community in eastern Nepal.
  • B. Maléku language
    The Maléku language is an indigenous Chibchan language spoken by the Maléku people of northern Costa Rica, known for its endangered status and rich oral tradition.
  • C. Babine language
    The Babine language is an Indigenous Athabaskan language spoken by the Babine (Nadot'en) people of British Columbia, Canada.
  • 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. Picene language
    The Picene language is an extinct Italic language once spoken by the ancient Piceni people in east-central Italy.
  • 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: Bacheve language
Triple: [Nyang languages, hasMember, Bacheve language]
Generated description
The Bacheve language is a Bantu language of the Nyang group spoken by the Bacheve people in parts of Central Africa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bacheve language
Target entity description: The Bacheve language is a Bantu language of the Nyang group spoken by the Bacheve people in parts of Central Africa.
  • A. Belhare language
    The Belhare language is a Kiranti language of the Sino-Tibetan family spoken by the Belhare community in eastern Nepal.
  • B. Maléku language
    The Maléku language is an indigenous Chibchan language spoken by the Maléku people of northern Costa Rica, known for its endangered status and rich oral tradition.
  • C. Babine language
    The Babine language is an Indigenous Athabaskan language spoken by the Babine (Nadot'en) people of British Columbia, Canada.
  • 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. Picene language
    The Picene language is an extinct Italic language once spoken by the ancient Piceni people in east-central Italy.
  • 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_69c687f0ceb08190bf40807bfc605fa5 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6aff42c748190b818cf55f83647cb completed March 27, 2026, 4:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cbf71874819080cc89b6740b1567 completed March 27, 2026, 6:27 p.m.
NEDg Description generation batch_69c6cd0bb0e48190ae51fde4b4631f65 completed March 27, 2026, 6:31 p.m.
NED2 Entity disambiguation (via description) batch_69c6cd90b9208190b4c5bf44db073314 completed March 27, 2026, 6:33 p.m.
Created at: March 27, 2026, 2 p.m.