Triple

T10489451
Position Surface form Disambiguated ID Type / Status
Subject Masalit people E247375 entity
Predicate historicalCapital P2536 FINISHED
Object Geneina
Geneina is a city in western Sudan that serves as a major urban center in Darfur and a focal point for the Masalit people.
 E867080 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: Geneina | Statement: [Masalit people, historicalCapital, Geneina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Geneina
Context triple: [Masalit people, historicalCapital, Geneina]
  • A. Gomeisa
    Gomeisa is the second-brightest star in the constellation Canis Minor, known as a hot, blue-white main-sequence star visible to the naked eye.
  • B. Jina
    Jina is a revered spiritual title in Jainism denoting an enlightened victor who has conquered inner passions and attained omniscience.
  • C. Jenne
    Jenne was a prominent medieval West African trading and scholarly city that played a key role in the economic and cultural life of the Songhai Empire.
  • D. Greeta
    Greeta is a small tributary stream in northern England that feeds into the River Wenning.
  • E. Gannushkina
    Gannushkina is a Russian surname most notably associated with Svetlana Gannushkina, a prominent human rights activist and mathematician.
  • 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: Geneina
Triple: [Masalit people, historicalCapital, Geneina]
Generated description
Geneina is a city in western Sudan that serves as a major urban center in Darfur and a focal point for the Masalit people.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Geneina
Target entity description: Geneina is a city in western Sudan that serves as a major urban center in Darfur and a focal point for the Masalit people.
  • A. Gomeisa
    Gomeisa is the second-brightest star in the constellation Canis Minor, known as a hot, blue-white main-sequence star visible to the naked eye.
  • B. Jina
    Jina is a revered spiritual title in Jainism denoting an enlightened victor who has conquered inner passions and attained omniscience.
  • C. Jenne
    Jenne was a prominent medieval West African trading and scholarly city that played a key role in the economic and cultural life of the Songhai Empire.
  • D. Greeta
    Greeta is a small tributary stream in northern England that feeds into the River Wenning.
  • E. Gannushkina
    Gannushkina is a Russian surname most notably associated with Svetlana Gannushkina, a prominent human rights activist and mathematician.
  • 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_69d5097ca5c081908b47a08ca7885650 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_69d901e1ecf88190acd24a0e20462cb9 completed April 10, 2026, 1:57 p.m.
Created at: April 6, 2026, 12:23 p.m.