Triple

T10490434
Position Surface form Disambiguated ID Type / Status
Subject Kunama languages E247402 entity
Predicate hasMember P10 FINISHED
Object Marda language
The Marda language is a lesser-known Nilo-Saharan language variety spoken by the Kunama people in parts of the Horn of Africa.
 E867523 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: Marda language | Statement: [Kunama languages, hasMember, Marda language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marda language
Context triple: [Kunama languages, hasMember, Marda language]
  • A. Marsela language
    The Marsela language is an Austronesian language spoken on Marsela Island in the Maluku province of Indonesia.
  • B. Mararit language
    The Mararit language is a lesser-known Nilo-Saharan language spoken by the Mararit people in parts of Chad and Sudan.
  • C. Marau language
    The Marau language is an Oceanic language spoken in the Solomon Islands, belonging to the Southeast Solomonic branch of the Austronesian language family.
  • D. Damara language
    The Damara language is a Khoe (Central Khoisan) language spoken primarily by the Damara people of Namibia.
  • E. Muria language
    Muria language is a Central Dravidian language spoken primarily by the Muria Gond tribal communities in central India, especially in parts of Chhattisgarh and Maharashtra.
  • 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: Marda language
Triple: [Kunama languages, hasMember, Marda language]
Generated description
The Marda language is a lesser-known Nilo-Saharan language variety spoken by the Kunama people in parts of the Horn of Africa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marda language
Target entity description: The Marda language is a lesser-known Nilo-Saharan language variety spoken by the Kunama people in parts of the Horn of Africa.
  • A. Marsela language
    The Marsela language is an Austronesian language spoken on Marsela Island in the Maluku province of Indonesia.
  • B. Mararit language
    The Mararit language is a lesser-known Nilo-Saharan language spoken by the Mararit people in parts of Chad and Sudan.
  • C. Marau language
    The Marau language is an Oceanic language spoken in the Solomon Islands, belonging to the Southeast Solomonic branch of the Austronesian language family.
  • D. Damara language
    The Damara language is a Khoe (Central Khoisan) language spoken primarily by the Damara people of Namibia.
  • E. Muria language
    Muria language is a Central Dravidian language spoken primarily by the Muria Gond tribal communities in central India, especially in parts of Chhattisgarh and Maharashtra.
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5097d61e08190952d4354ef1bce52 completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dc9792308190b09d6aaed63dd418 completed April 10, 2026, 11:18 a.m.
NEDg Description generation batch_69d8e8c81bdc8190b6b6dfe00025b514 completed April 10, 2026, 12:10 p.m.
NED2 Entity disambiguation (via description) batch_69d901ef24608190934377d9dc855d6f completed April 10, 2026, 1:58 p.m.
Created at: April 6, 2026, 12:23 p.m.