Triple

T2505270
Position Surface form Disambiguated ID Type / Status
Subject Khoe languages E52562 entity
Predicate includes P1393 FINISHED
Object Buga language
The Buga language is a lesser-known member of the Khoe family of southern African languages, spoken by a small community and considered endangered.
E271860 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: Buga language | Statement: [Khoe languages, includes, Buga language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buga language
Context triple: [Khoe languages, includes, Buga language]
  • A. Bugotu language
    The Bugotu language is an Oceanic language spoken by the Bugotu people of Santa Isabel Island in the Solomon Islands.
  • B. Buglere language
    The Buglere language is an indigenous Chibchan language spoken by the Buglere people of Panama and closely related to the Ngäbere language.
  • C. Budong-Budong language
    The Budong-Budong language is an Austronesian language spoken by a small community in West Sulawesi, Indonesia.
  • D. Logba language
    The Logba language is a Niger-Congo language spoken by the Logba people of southeastern Ghana.
  • E. Bouyei language
    The Bouyei language is a Tai–Kadai language spoken primarily by the Bouyei ethnic group in southern China, especially in Guizhou Province.
  • 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: Buga language
Triple: [Khoe languages, includes, Buga language]
Generated description
The Buga language is a lesser-known member of the Khoe family of southern African languages, spoken by a small community and considered endangered.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Buga language
Target entity description: The Buga language is a lesser-known member of the Khoe family of southern African languages, spoken by a small community and considered endangered.
  • A. Bugotu language
    The Bugotu language is an Oceanic language spoken by the Bugotu people of Santa Isabel Island in the Solomon Islands.
  • B. Buglere language
    The Buglere language is an indigenous Chibchan language spoken by the Buglere people of Panama and closely related to the Ngäbere language.
  • C. Budong-Budong language
    The Budong-Budong language is an Austronesian language spoken by a small community in West Sulawesi, Indonesia.
  • D. Logba language
    The Logba language is a Niger-Congo language spoken by the Logba people of southeastern Ghana.
  • E. Bouyei language
    The Bouyei language is a Tai–Kadai language spoken primarily by the Bouyei ethnic group in southern China, especially in Guizhou Province.
  • 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_69ab4957b3a88190adf968ae0c1b931c completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd1cec9f48190848b6129aa394ce4 completed March 7, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1fa57aa4819096578a5538973ec4 completed March 9, 2026, 7:29 p.m.
NEDg Description generation batch_69af203f7ca08190ba781891bd879192 completed March 9, 2026, 7:32 p.m.
NED2 Entity disambiguation (via description) batch_69af20cd13a88190a35bc1b74ad088ef completed March 9, 2026, 7:34 p.m.
Created at: March 6, 2026, 9:46 p.m.