Triple

T2403372
Position Surface form Disambiguated ID Type / Status
Subject Central Sudanic languages E50218 entity
Predicate hasPart P35 FINISHED
Object Kenga language
The Kenga language is a Central Sudanic language spoken primarily by the Kenga people in Chad.
E262853 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: Kenga language | Statement: [Central Sudanic languages, hasPart, Kenga language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kenga language
Context triple: [Central Sudanic languages, hasPart, Kenga language]
  • A. Karanga language
    The Karanga language is a member of the Maban branch of the Nilo-Saharan language family, spoken by communities in the central African region.
  • B. Lengo language
    The Lengo language is an Oceanic language spoken on Guadalcanal in the Solomon Islands, known for its place within the Southeast Solomonic subgroup.
  • C. Kalanguya language
    The Kalanguya language is an Austronesian language spoken by the Kalanguya people in the northern Luzon highlands of the Philippines.
  • D. Konjo language
    The Konjo language is an Austronesian language spoken by the Konjo people of South Sulawesi, Indonesia, known for its distinct coastal and highland dialects.
  • E. Lango language
    Lango is a Western Nilotic language spoken primarily by the Lango people of northern Uganda, closely related to other Luo languages.
  • 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: Kenga language
Triple: [Central Sudanic languages, hasPart, Kenga language]
Generated description
The Kenga language is a Central Sudanic language spoken primarily by the Kenga people in Chad.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kenga language
Target entity description: The Kenga language is a Central Sudanic language spoken primarily by the Kenga people in Chad.
  • A. Karanga language
    The Karanga language is a member of the Maban branch of the Nilo-Saharan language family, spoken by communities in the central African region.
  • B. Lengo language
    The Lengo language is an Oceanic language spoken on Guadalcanal in the Solomon Islands, known for its place within the Southeast Solomonic subgroup.
  • C. Kalanguya language
    The Kalanguya language is an Austronesian language spoken by the Kalanguya people in the northern Luzon highlands of the Philippines.
  • D. Konjo language
    The Konjo language is an Austronesian language spoken by the Konjo people of South Sulawesi, Indonesia, known for its distinct coastal and highland dialects.
  • E. Lango language
    Lango is a Western Nilotic language spoken primarily by the Lango people of northern Uganda, closely related to other Luo languages.
  • 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_69a88b0339a88190a1207333cd271cc9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc8f8aa2881909192920ee394f0b3 completed March 7, 2026, 6:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3e740c88190872aa1a7834d73b0 completed March 9, 2026, 11:49 a.m.
NEDg Description generation batch_69aeb4b942b08190addc2885fbda0e41 completed March 9, 2026, 11:53 a.m.
NED2 Entity disambiguation (via description) batch_69aeb557247c8190920ce3a5db388800 completed March 9, 2026, 11:56 a.m.
Created at: March 4, 2026, 7:58 p.m.