Triple

T2315485
Position Surface form Disambiguated ID Type / Status
Subject Eastern Sudanic languages E51052 entity
Predicate hasNotableLanguage P7390 FINISHED
Object Daju Mongo
Daju Mongo is a Daju language spoken primarily in Chad and Sudan, belonging to the Eastern Sudanic branch of the Nilo-Saharan language family.
E255791 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: Daju Mongo | Statement: [Eastern Sudanic languages, hasNotableLanguage, Daju Mongo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daju Mongo
Context triple: [Eastern Sudanic languages, hasNotableLanguage, Daju Mongo]
  • A. Jagjaguwar
    Jagjaguwar is an American independent record label known for releasing critically acclaimed indie and experimental music, including albums by Bon Iver.
  • B. Dadu’a
    Dadu’a is an indigenous local language spoken on Atauro Island, part of Timor-Leste.
  • C. Mangina
    Mangina is a town in North Kivu Province in the eastern Democratic Republic of the Congo that gained international attention as a focal point of the 2018–2020 Kivu Ebola epidemic.
  • D. Pucikwar
    Pucikwar is an extinct Great Andamanese language once spoken by the Pucikwar people of the Andaman Islands in India.
  • E. Chokhatauri
    Chokhatauri is a small town in western Georgia that serves as an administrative and economic center in the Guria region.
  • 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: Daju Mongo
Triple: [Eastern Sudanic languages, hasNotableLanguage, Daju Mongo]
Generated description
Daju Mongo is a Daju language spoken primarily in Chad and Sudan, belonging to the Eastern Sudanic branch of the Nilo-Saharan language family.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Daju Mongo
Target entity description: Daju Mongo is a Daju language spoken primarily in Chad and Sudan, belonging to the Eastern Sudanic branch of the Nilo-Saharan language family.
  • A. Jagjaguwar
    Jagjaguwar is an American independent record label known for releasing critically acclaimed indie and experimental music, including albums by Bon Iver.
  • B. Dadu’a
    Dadu’a is an indigenous local language spoken on Atauro Island, part of Timor-Leste.
  • C. Mangina
    Mangina is a town in North Kivu Province in the eastern Democratic Republic of the Congo that gained international attention as a focal point of the 2018–2020 Kivu Ebola epidemic.
  • D. Pucikwar
    Pucikwar is an extinct Great Andamanese language once spoken by the Pucikwar people of the Andaman Islands in India.
  • E. Chokhatauri
    Chokhatauri is a small town in western Georgia that serves as an administrative and economic center in the Guria region.
  • 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_69a88b074b908190ae983dbca7757d88 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc61e72508190b335cda2c7fef130 completed March 7, 2026, 6:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae896236f08190b3874854279bbdf7 completed March 9, 2026, 8:48 a.m.
NEDg Description generation batch_69ae8b0b27cc819099a5df60d678d3e2 completed March 9, 2026, 8:55 a.m.
NED2 Entity disambiguation (via description) batch_69ae8b79633881908acf94f8db389c0f completed March 9, 2026, 8:57 a.m.
Created at: March 4, 2026, 7:49 p.m.