Triple

T11596204
Position Surface form Disambiguated ID Type / Status
Subject Lusoga E275006 entity
Predicate hasAlternativeName P39 FINISHED
Object Soga
Soga is a Bantu language spoken primarily in eastern Uganda by the Basoga people.
 E935948 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: Soga | Statement: [Lusoga, hasAlternativeName, Soga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Soga
Context triple: [Lusoga, hasAlternativeName, Soga]
  • A. Soga clan
    The Soga clan was a powerful aristocratic family in early Japan that played a central role in promoting Buddhism and shaping the politics of the Asuka period.
  • B. Rikitea
    Rikitea is the principal village and administrative hub of the Gambier Islands in French Polynesia, known for its lagoon setting and pearl-farming activities.
  • C. Mutsu
    Mutsu was a Japanese Nagato-class battleship of the Imperial Japanese Navy that served prominently during the interwar period and World War II before being destroyed by an internal explosion in 1943.
  • D. Mutsu
    Mutsu is a coastal city in northern Japan known for its proximity to the Shimokita Peninsula and natural hot springs.
  • E. Obihiro
    Obihiro is a mid-sized city in eastern Hokkaido, Japan, known for its agricultural production, horse racing, and cold, snowy winters.
  • 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: Soga
Triple: [Lusoga, hasAlternativeName, Soga]
Generated description
Soga is a Bantu language spoken primarily in eastern Uganda by the Basoga people.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Soga
Target entity description: Soga is a Bantu language spoken primarily in eastern Uganda by the Basoga people.
  • A. Soga clan
    The Soga clan was a powerful aristocratic family in early Japan that played a central role in promoting Buddhism and shaping the politics of the Asuka period.
  • B. Rikitea
    Rikitea is the principal village and administrative hub of the Gambier Islands in French Polynesia, known for its lagoon setting and pearl-farming activities.
  • C. Mutsu
    Mutsu was a Japanese Nagato-class battleship of the Imperial Japanese Navy that served prominently during the interwar period and World War II before being destroyed by an internal explosion in 1943.
  • D. Mutsu
    Mutsu is a coastal city in northern Japan known for its proximity to the Shimokita Peninsula and natural hot springs.
  • E. Obihiro
    Obihiro is a mid-sized city in eastern Hokkaido, Japan, known for its agricultural production, horse racing, and cold, snowy winters.
  • 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_69d6aae6b14c81908dc5a74bad7591f9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8946790d08190924d60bb4b523250 completed April 10, 2026, 6:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69e8a7cad108819082eebb3ca130f5b8 completed April 22, 2026, 10:49 a.m.
NEDg Description generation batch_69e8af93e07c8190aecb040cac6db146 completed April 22, 2026, 11:23 a.m.
NED2 Entity disambiguation (via description) batch_69ee5b254a2081909cba97a6ecb10601 completed April 26, 2026, 6:36 p.m.
Created at: April 8, 2026, 9:38 p.m.