Triple

T8564441
Position Surface form Disambiguated ID Type / Status
Subject Kurumba languages E202768 entity
Predicate hasMember P10 FINISHED
Object Mullu Kurumba language
Mullu Kurumba is a Dravidian tribal language spoken by the Kurumba community in parts of Kerala and Tamil Nadu in southern India.
E742892 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: Mullu Kurumba language | Statement: [Kurumba languages, hasMember, Mullu Kurumba language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mullu Kurumba language
Context triple: [Kurumba languages, hasMember, Mullu Kurumba language]
  • A. Kurmali language
    Kurmali language is an Indo-Aryan tribal language spoken primarily in eastern India, especially in Jharkhand, West Bengal, and Odisha, by the Kurmi and related communities.
  • B. Kumaoni language
    Kumaoni language is an Indo-Aryan language of the Central Pahari group spoken primarily in the Kumaon region of Uttarakhand, India.
  • C. Kurudu language
    Kurudu language is an Austronesian language spoken on Kurudu Island off the northern coast of Papua, Indonesia.
  • D. Medumba language
    Medumba is a Bantu-related Grassfields language spoken primarily by the Bamileke people in western Cameroon.
  • E. Moru language
    The Moru language is a Central Sudanic language spoken primarily by the Moru people of South Sudan.
  • 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: Mullu Kurumba language
Triple: [Kurumba languages, hasMember, Mullu Kurumba language]
Generated description
Mullu Kurumba is a Dravidian tribal language spoken by the Kurumba community in parts of Kerala and Tamil Nadu in southern India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mullu Kurumba language
Target entity description: Mullu Kurumba is a Dravidian tribal language spoken by the Kurumba community in parts of Kerala and Tamil Nadu in southern India.
  • A. Kurmali language
    Kurmali language is an Indo-Aryan tribal language spoken primarily in eastern India, especially in Jharkhand, West Bengal, and Odisha, by the Kurmi and related communities.
  • B. Kumaoni language
    Kumaoni language is an Indo-Aryan language of the Central Pahari group spoken primarily in the Kumaon region of Uttarakhand, India.
  • C. Kurudu language
    Kurudu language is an Austronesian language spoken on Kurudu Island off the northern coast of Papua, Indonesia.
  • D. Medumba language
    Medumba is a Bantu-related Grassfields language spoken primarily by the Bamileke people in western Cameroon.
  • E. Moru language
    The Moru language is a Central Sudanic language spoken primarily by the Moru people of South Sudan.
  • 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_69ca8326e6c881908ff720d6abaebdc5 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe9d11274819099cc33a21a993a1f completed March 31, 2026, 3:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce89677888819091dfda14ce6baef3 completed April 2, 2026, 3:21 p.m.
NEDg Description generation batch_69ce8c10d774819086437ffeeb1ef25d completed April 2, 2026, 3:32 p.m.
NED2 Entity disambiguation (via description) batch_69ce8d0064fc819095058293e4229f25 completed April 2, 2026, 3:36 p.m.
Created at: March 30, 2026, 6:20 p.m.