Triple

T12653659
Position Surface form Disambiguated ID Type / Status
Subject Jula E302226 entity
Predicate hasAlternativeName P39 FINISHED
Object Jula language
Jula language is a Mande language widely used as a trade and lingua franca in parts of West Africa, particularly in Burkina Faso, Côte d’Ivoire, and Mali.
 E996619 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: Jula language | Statement: [Jula, hasAlternativeName, Jula language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jula language
Context triple: [Jula, hasAlternativeName, Jula language]
  • A. Jita language
    The Jita language is a Bantu language spoken by the Jita people of northwestern Tanzania, near Lake Victoria.
  • B. Jova language
    The Jova language is an extinct Uto-Aztecan language once spoken by the Jova people of northern Mexico, historically associated with the Taracahitic branch.
  • C. Jie language
    The Jie language is an Eastern Sudanic language spoken by the Jie people of South Sudan, closely related to other Surmic languages of the region.
  • D. Mara language
    The Mara language is a Kuki-Chin language spoken primarily by the Mara people in parts of northeastern India and western Myanmar.
  • E. Sula language
    The Sula language is an Austronesian language spoken by the indigenous communities of the Sula Islands in eastern 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: Jula language
Triple: [Jula, hasAlternativeName, Jula language]
Generated description
Jula language is a Mande language widely used as a trade and lingua franca in parts of West Africa, particularly in Burkina Faso, Côte d’Ivoire, and Mali.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jula language
Target entity description: Jula language is a Mande language widely used as a trade and lingua franca in parts of West Africa, particularly in Burkina Faso, Côte d’Ivoire, and Mali.
  • A. Jita language
    The Jita language is a Bantu language spoken by the Jita people of northwestern Tanzania, near Lake Victoria.
  • B. Jova language
    The Jova language is an extinct Uto-Aztecan language once spoken by the Jova people of northern Mexico, historically associated with the Taracahitic branch.
  • C. Jie language
    The Jie language is an Eastern Sudanic language spoken by the Jie people of South Sudan, closely related to other Surmic languages of the region.
  • D. Mara language
    The Mara language is a Kuki-Chin language spoken primarily by the Mara people in parts of northeastern India and western Myanmar.
  • E. Sula language
    The Sula language is an Austronesian language spoken by the indigenous communities of the Sula Islands in eastern 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_69d7bded71a88190bb76e2413af9ea66 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96160730c81909e1aa3efb51bf159 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6688104d48190939933b93b7e60cc completed May 2, 2026, 9:11 p.m.
NEDg Description generation batch_69f66c572f848190a8cad6311d3315a3 completed May 2, 2026, 9:27 p.m.
NED2 Entity disambiguation (via description) batch_69f66cef79148190a052fb9ade3b0d27 completed May 2, 2026, 9:30 p.m.
Created at: April 9, 2026, 5:18 p.m.