Triple

T6334235
Position Surface form Disambiguated ID Type / Status
Subject Jarawan Bantu E142451 entity
Predicate hasMemberLanguage P7390 FINISHED
Object Kyak (Bambuka)
Kyak (Bambuka) is a Jarawan Bantu language spoken in parts of Nigeria.
 E586685 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: Kyak (Bambuka) | Statement: [Jarawan Bantu, hasMemberLanguage, Kyak (Bambuka)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kyak (Bambuka)
Context triple: [Jarawan Bantu, hasMemberLanguage, Kyak (Bambuka)]
  • A. Segai
    Segai is a dialect of the Kayan language spoken by an indigenous community of Borneo.
  • B. Talin
    Talin is a small town in western Armenia known for its historic churches and its location near Mount Aragats.
  • C. Balau Iban
    Balau Iban is a regional dialect of the Iban language spoken by Iban communities in parts of Sarawak, Malaysia.
  • D. Ngaju Dayak
    Ngaju Dayak are an indigenous Dayak ethnic group of Central Kalimantan, Borneo, known for their distinct language, river-based settlements, and rich traditional culture and rituals.
  • E. Bamboo
    Bamboo is a fast-growing, woody grass known for its tall, hollow stems and widespread use in construction, crafts, and as an ornamental plant.
  • 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: Kyak (Bambuka)
Triple: [Jarawan Bantu, hasMemberLanguage, Kyak (Bambuka)]
Generated description
Kyak (Bambuka) is a Jarawan Bantu language spoken in parts of Nigeria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kyak (Bambuka)
Target entity description: Kyak (Bambuka) is a Jarawan Bantu language spoken in parts of Nigeria.
  • A. Segai
    Segai is a dialect of the Kayan language spoken by an indigenous community of Borneo.
  • B. Talin
    Talin is a small town in western Armenia known for its historic churches and its location near Mount Aragats.
  • C. Balau Iban
    Balau Iban is a regional dialect of the Iban language spoken by Iban communities in parts of Sarawak, Malaysia.
  • D. Ngaju Dayak
    Ngaju Dayak are an indigenous Dayak ethnic group of Central Kalimantan, Borneo, known for their distinct language, river-based settlements, and rich traditional culture and rituals.
  • E. Bamboo
    Bamboo is a fast-growing, woody grass known for its tall, hollow stems and widespread use in construction, crafts, and as an ornamental plant.
  • 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_69c008d4d8e88190ad301c05b08722ac completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06549084c8190b73fd94c9e0cb302 completed March 22, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c60424a5dc8190820970fce13776ac completed March 27, 2026, 4:14 a.m.
NEDg Description generation batch_69c60626724881908e6270c2d3652c16 completed March 27, 2026, 4:23 a.m.
NED2 Entity disambiguation (via description) batch_69c606bd2228819082fcb63493664927 completed March 27, 2026, 4:25 a.m.
Created at: March 22, 2026, 4:30 p.m.