Triple

T11792169
Position Surface form Disambiguated ID Type / Status
Subject East Central Sudanic languages E280413 entity
Predicate hasMember P10 FINISHED
Object Dongotono language
The Dongotono language is a lesser-known Eastern Sudanic language spoken by the Dongotono people in South Sudan.
 E946862 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: Dongotono language | Statement: [East Central Sudanic languages, hasMember, Dongotono language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dongotono language
Context triple: [East Central Sudanic languages, hasMember, Dongotono language]
  • A. Uduk language
    The Uduk language is a Nilo-Saharan language spoken primarily by the Uduk people of eastern Sudan and western Ethiopia.
  • B. Toongo language
    The Toongo language is a lesser-known Gbaya language spoken by a small ethnic community in Central Africa.
  • C. Bugotu language
    The Bugotu language is an Oceanic language spoken by the Bugotu people of Santa Isabel Island in the Solomon Islands.
  • D. Baatonum language
    The Baatonum language is a Gur language spoken primarily by the Bariba people of Benin and neighboring areas of West Africa.
  • E. Toundanow language
    The Toundanow language is an Austronesian language spoken by the Tonsawang people of northern Sulawesi, Indonesia.
  • 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: Dongotono language
Triple: [East Central Sudanic languages, hasMember, Dongotono language]
Generated description
The Dongotono language is a lesser-known Eastern Sudanic language spoken by the Dongotono people in South Sudan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dongotono language
Target entity description: The Dongotono language is a lesser-known Eastern Sudanic language spoken by the Dongotono people in South Sudan.
  • A. Uduk language
    The Uduk language is a Nilo-Saharan language spoken primarily by the Uduk people of eastern Sudan and western Ethiopia.
  • B. Toongo language
    The Toongo language is a lesser-known Gbaya language spoken by a small ethnic community in Central Africa.
  • C. Bugotu language
    The Bugotu language is an Oceanic language spoken by the Bugotu people of Santa Isabel Island in the Solomon Islands.
  • D. Baatonum language
    The Baatonum language is a Gur language spoken primarily by the Bariba people of Benin and neighboring areas of West Africa.
  • E. Toundanow language
    The Toundanow language is an Austronesian language spoken by the Tonsawang people of northern Sulawesi, Indonesia.
  • 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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a588d2c881909783c2d678c2a474 completed April 10, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f09107fd2481908d765d2188035012 completed April 28, 2026, 10:50 a.m.
NEDg Description generation batch_69f0bd40108c8190863a60cf01cc7201 completed April 28, 2026, 1:59 p.m.
NED2 Entity disambiguation (via description) batch_69f0ef7e9f388190b33f6c16abadfde9 completed April 28, 2026, 5:33 p.m.
Created at: April 8, 2026, 9:42 p.m.