Triple

T7257360
Position Surface form Disambiguated ID Type / Status
Subject Kambera language E157754 entity
Predicate hasGlottologName P6521 FINISHED
Object Kambera
Kambera is an Austronesian language spoken primarily on the island of Sumba in eastern Indonesia.
 E652671 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: Kambera | Statement: [Kambera language, hasGlottologName, Kambera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kambera
Context triple: [Kambera language, hasGlottologName, Kambera]
  • A. Kachera
    Kachera are traditional cotton undergarments worn by initiated Sikhs as one of the Five Ks, symbolizing modesty, self-control, and readiness.
  • B. Kamberi
    Kamberi are an ethnic group in northwestern Nigeria, primarily inhabiting rural areas of Kebbi State and known for their distinct language and traditional cultural practices.
  • C. Dambatta
    Dambatta is a prominent town and local government area in northern Nigeria, situated within Kano State and known for its role in regional commerce and agriculture.
  • D. Kamarata
    Kamarata is a small indigenous village in southeastern Venezuela, known as a gateway to the Gran Sabana region and the nearby Auyán-tepui and Angel Falls.
  • E. Kandia
    Kandia is a remote valley and settlement area located within Pakistan’s Kohistan mountain ranges, known for its rugged terrain and isolated communities.
  • 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: Kambera
Triple: [Kambera language, hasGlottologName, Kambera]
Generated description
Kambera is an Austronesian language spoken primarily on the island of Sumba in eastern Indonesia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kambera
Target entity description: Kambera is an Austronesian language spoken primarily on the island of Sumba in eastern Indonesia.
  • A. Kachera
    Kachera are traditional cotton undergarments worn by initiated Sikhs as one of the Five Ks, symbolizing modesty, self-control, and readiness.
  • B. Kamberi
    Kamberi are an ethnic group in northwestern Nigeria, primarily inhabiting rural areas of Kebbi State and known for their distinct language and traditional cultural practices.
  • C. Dambatta
    Dambatta is a prominent town and local government area in northern Nigeria, situated within Kano State and known for its role in regional commerce and agriculture.
  • D. Kamarata
    Kamarata is a small indigenous village in southeastern Venezuela, known as a gateway to the Gran Sabana region and the nearby Auyán-tepui and Angel Falls.
  • E. Kandia
    Kandia is a remote valley and settlement area located within Pakistan’s Kohistan mountain ranges, known for its rugged terrain and isolated communities.
  • 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_69c6882d81d4819085f7ff862951ee4f completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6eaa3d88081908f59ca5a85790290 completed March 27, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7d3b541708190b66233813b167453 completed March 28, 2026, 1:12 p.m.
NEDg Description generation batch_69c7d44f36e881909d107cc625ebcfca completed March 28, 2026, 1:14 p.m.
NED2 Entity disambiguation (via description) batch_69c7d4cc3e78819098eb8ccfe7c42cc5 completed March 28, 2026, 1:17 p.m.
Created at: March 27, 2026, 2:57 p.m.