Triple

T2791201
Position Surface form Disambiguated ID Type / Status
Subject Juba Arabic E61931 entity
Predicate alternativeName P39 FINISHED
Object Arabi Juba
Arabi Juba is a colloquial Arabic-based creole widely spoken as a lingua franca in and around Juba, South Sudan.
 E298606 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: Arabi Juba | Statement: [Juba Arabic, alternativeName, Arabi Juba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Arabi Juba
Context triple: [Juba Arabic, alternativeName, Arabi Juba]
  • A. Dongolawi
    Dongolawi is a Nubian language spoken primarily along the Nile in northern Sudan, known for its role in preserving the cultural and linguistic heritage of the Nubian people.
  • B. Zintan
    Zintan is a town in western Libya known for its role in the Libyan Civil War and for being controlled by powerful local militias.
  • C. Anseba
    Anseba is a central region of Eritrea known for its diverse ethnic communities, agriculture, and the regional capital Keren.
  • D. Kenuzi-Dongola
    Kenuzi-Dongola is a Nubian language of the Eastern Sudanic branch spoken primarily along the Nile in southern Egypt and northern Sudan.
  • E. Bahr el Ghazal
    Bahr el Ghazal is a major river and region in South Sudan that forms one of the principal western tributary systems of the White Nile.
  • 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: Arabi Juba
Triple: [Juba Arabic, alternativeName, Arabi Juba]
Generated description
Arabi Juba is a colloquial Arabic-based creole widely spoken as a lingua franca in and around Juba, South Sudan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Arabi Juba
Target entity description: Arabi Juba is a colloquial Arabic-based creole widely spoken as a lingua franca in and around Juba, South Sudan.
  • A. Dongolawi
    Dongolawi is a Nubian language spoken primarily along the Nile in northern Sudan, known for its role in preserving the cultural and linguistic heritage of the Nubian people.
  • B. Zintan
    Zintan is a town in western Libya known for its role in the Libyan Civil War and for being controlled by powerful local militias.
  • C. Anseba
    Anseba is a central region of Eritrea known for its diverse ethnic communities, agriculture, and the regional capital Keren.
  • D. Kenuzi-Dongola
    Kenuzi-Dongola is a Nubian language of the Eastern Sudanic branch spoken primarily along the Nile in southern Egypt and northern Sudan.
  • E. Bahr el Ghazal
    Bahr el Ghazal is a major river and region in South Sudan that forms one of the principal western tributary systems of the White Nile.
  • 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_69ab4b7f51d881908768300ebd2fbdae completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abddcfe19c81908f94dd449f18a2c2 completed March 7, 2026, 8:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc65c1f848190b6efeefb64a3e131 completed March 10, 2026, 7:21 a.m.
NEDg Description generation batch_69afc6e6d4bc81908108fe24677448c3 completed March 10, 2026, 7:23 a.m.
NED2 Entity disambiguation (via description) batch_69afc7907be88190b70458ed735261e8 completed March 10, 2026, 7:26 a.m.
Created at: March 6, 2026, 9:58 p.m.