Triple

T19209178
Position Surface form Disambiguated ID Type / Status
Subject Aymaran languages E480312 entity
Predicate hasMember P10 FINISHED
Object Kawki language
The Kawki language is a lesser-known indigenous Aymaran language variety spoken by a small community in the Andean region of South America.
E1364895 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: Kawki language | Statement: [Aymaran languages, hasMember, Kawki language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kawki language
Context triple: [Aymaran languages, hasMember, Kawki language]
  • A. Kaw language
    The Kaw language is a nearly extinct Siouan language traditionally spoken by the Kaw (Kansa) people of the central United States.
  • B. Akawaio language
    The Akawaio language is an indigenous Cariban language spoken by the Akawaio people of Guyana, Venezuela, and Brazil.
  • C. Kumbewaha language
    The Kumbewaha language is an Austronesian language spoken in Sulawesi, Indonesia, belonging to the Wotu–Wolio subgroup.
  • D. Kawaiisu language
    Kawaiisu language is an endangered Uto-Aztecan language traditionally spoken by the Kawaiisu people of southern California.
  • 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: Kawki language
Triple: [Aymaran languages, hasMember, Kawki language]
Generated description
The Kawki language is a lesser-known indigenous Aymaran language variety spoken by a small community in the Andean region of South America.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kawki language
Target entity description: The Kawki language is a lesser-known indigenous Aymaran language variety spoken by a small community in the Andean region of South America.
  • A. Kaw language
    The Kaw language is a nearly extinct Siouan language traditionally spoken by the Kaw (Kansa) people of the central United States.
  • B. Akawaio language
    The Akawaio language is an indigenous Cariban language spoken by the Akawaio people of Guyana, Venezuela, and Brazil.
  • C. Kumbewaha language
    The Kumbewaha language is an Austronesian language spoken in Sulawesi, Indonesia, belonging to the Wotu–Wolio subgroup.
  • D. Kawaiisu language
    Kawaiisu language is an endangered Uto-Aztecan language traditionally spoken by the Kawaiisu people of southern California.
  • 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_69d8e8cb8c348190b52075823911c869 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5f9a000188190afb762ea24bc3deb completed April 20, 2026, 10:02 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0700e4e994819080d6767be5e974a3 completed May 15, 2026, 11:17 a.m.
NEDg Description generation batch_6a07029b7580819090126480b5b1213f completed May 15, 2026, 11:25 a.m.
NED2 Entity disambiguation (via description) batch_6a07030deef08190a582bb6f956ef381 completed May 15, 2026, 11:27 a.m.
Created at: April 10, 2026, 1:20 p.m.