Triple

T1481453
Position Surface form Disambiguated ID Type / Status
Subject Muna–Buton languages E30964 entity
Predicate hasMember P10 FINISHED
Object Kioko language
The Kioko language is an Austronesian language of the Muna–Buton subgroup spoken by a small community in southeastern Sulawesi, Indonesia.
E187288 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: Kioko language | Statement: [Muna–Buton languages, hasMember, Kioko language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kioko language
Context triple: [Muna–Buton languages, hasMember, Kioko language]
  • A. Chimariko language
    The Chimariko language is an extinct Native American language once spoken in northwestern California, often classified within the proposed Hokan language family.
  • B. Kawaiisu language
    Kawaiisu language is an endangered Uto-Aztecan language traditionally spoken by the Kawaiisu people of southern California.
  • C. Kaado language
    The Kaado language is a regional variety within the Songhay language family spoken by communities in parts of West Africa.
  • D. Kokota language
    The Kokota language is an Austronesian language spoken by the Kokota people of Santa Isabel Island in the Solomon Islands.
  • E. Koya language
    Koya language is a South-Central Dravidian language spoken by the Koya tribal communities in central and southern India.
  • 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: Kioko language
Triple: [Muna–Buton languages, hasMember, Kioko language]
Generated description
The Kioko language is an Austronesian language of the Muna–Buton subgroup spoken by a small community in southeastern Sulawesi, Indonesia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kioko language
Target entity description: The Kioko language is an Austronesian language of the Muna–Buton subgroup spoken by a small community in southeastern Sulawesi, Indonesia.
  • A. Chimariko language
    The Chimariko language is an extinct Native American language once spoken in northwestern California, often classified within the proposed Hokan language family.
  • B. Kawaiisu language
    Kawaiisu language is an endangered Uto-Aztecan language traditionally spoken by the Kawaiisu people of southern California.
  • C. Kaado language
    The Kaado language is a regional variety within the Songhay language family spoken by communities in parts of West Africa.
  • D. Kokota language
    The Kokota language is an Austronesian language spoken by the Kokota people of Santa Isabel Island in the Solomon Islands.
  • E. Koya language
    Koya language is a South-Central Dravidian language spoken by the Koya tribal communities in central and southern India.
  • 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_69a498fe55a88190ab7f9e40ace88e49 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c67699848190852e376efe22737c completed March 1, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad680440dc8190ad28ec47c5a35d28 completed March 8, 2026, 12:13 p.m.
NEDg Description generation batch_69ad68d482948190852098c5e80ad67b completed March 8, 2026, 12:17 p.m.
NED2 Entity disambiguation (via description) batch_69ad693e60048190bb2179a958a72452 completed March 8, 2026, 12:19 p.m.
Created at: March 1, 2026, 8:11 p.m.