Triple

T10490302
Position Surface form Disambiguated ID Type / Status
Subject Teso E247398 entity
Predicate neighboringLanguage P16383 FINISHED
Object Kumam
Kumam is a Nilotic language spoken by the Kumam people of eastern Uganda, closely related to neighboring Teso and Lango.
 E867512 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: Kumam | Statement: [Teso, neighboringLanguage, Kumam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kumam
Context triple: [Teso, neighboringLanguage, Kumam]
  • A. Kanuma
    Kanuma is a regional harvest festival celebrated mainly in Andhra Pradesh and Telangana as part of the multi-day Makar Sankranti festivities, focusing on cattle worship and agricultural prosperity.
  • B. Kamsa
    Kamsa is a tyrannical king in Hindu mythology, best known as the evil uncle and nemesis of Lord Krishna.
  • C. Mikuma
    Mikuma was a Japanese Mogami-class heavy cruiser of the Imperial Japanese Navy that served in World War II and was sunk during the Battle of Midway.
  • D. Kanemoto
    Kanemoto is a Japanese surname most notably associated with former professional baseball player and manager Tomonori Kanemoto.
  • E. Nam-ku
    Nam-ku is the McCune–Reischauer romanization of Nam District, an administrative district in the city of Busan, South Korea.
  • 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: Kumam
Triple: [Teso, neighboringLanguage, Kumam]
Generated description
Kumam is a Nilotic language spoken by the Kumam people of eastern Uganda, closely related to neighboring Teso and Lango.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kumam
Target entity description: Kumam is a Nilotic language spoken by the Kumam people of eastern Uganda, closely related to neighboring Teso and Lango.
  • A. Kanuma
    Kanuma is a regional harvest festival celebrated mainly in Andhra Pradesh and Telangana as part of the multi-day Makar Sankranti festivities, focusing on cattle worship and agricultural prosperity.
  • B. Kamsa
    Kamsa is a tyrannical king in Hindu mythology, best known as the evil uncle and nemesis of Lord Krishna.
  • C. Mikuma
    Mikuma was a Japanese Mogami-class heavy cruiser of the Imperial Japanese Navy that served in World War II and was sunk during the Battle of Midway.
  • D. Kanemoto
    Kanemoto is a Japanese surname most notably associated with former professional baseball player and manager Tomonori Kanemoto.
  • E. Nam-ku
    Nam-ku is the McCune–Reischauer romanization of Nam District, an administrative district in the city of Busan, South Korea.
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5097d61e08190952d4354ef1bce52 completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dc9792308190b09d6aaed63dd418 completed April 10, 2026, 11:18 a.m.
NEDg Description generation batch_69d8e8c81bdc8190b6b6dfe00025b514 completed April 10, 2026, 12:10 p.m.
NED2 Entity disambiguation (via description) batch_69d901ef24608190934377d9dc855d6f completed April 10, 2026, 1:58 p.m.
Created at: April 6, 2026, 12:23 p.m.