Triple

T1853938
Position Surface form Disambiguated ID Type / Status
Subject Kingdom of Meroë E41659 entity
Predicate successor P78 FINISHED
Object Alodia
Alodia was a medieval Nubian Christian kingdom centered in what is now Sudan, known as one of the last surviving Nubian states along the Nile.
 E206462 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: Alodia | Statement: [Kingdom of Meroë, successor, Alodia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Alodia
Context triple: [Kingdom of Meroë, successor, Alodia]
  • A. Everina
    Everina Wollstonecraft was an 18th-century English governess and writer, best known as the younger sister of feminist philosopher Mary Wollstonecraft.
  • B. Ledaal
    Ledaal is a historic manor house in Stavanger, Norway, that has served as a royal residence and cultural landmark.
  • C. Anuta
    Anuta is a small, remote Polynesian outlier island in the Solomon Islands known for its dense population, strong communal culture, and well-preserved traditional way of life.
  • D. Laleia
    Laleia is a town in northern Timor-Leste known as the birthplace of independence leader and former president Xanana Gusmão.
  • E. Mella
    Mella is a Spanish-language surname most notably associated with Cuban revolutionary leader Julio Antonio Mella.
  • 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: Alodia
Triple: [Kingdom of Meroë, successor, Alodia]
Generated description
Alodia was a medieval Nubian Christian kingdom centered in what is now Sudan, known as one of the last surviving Nubian states along the Nile.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Alodia
Target entity description: Alodia was a medieval Nubian Christian kingdom centered in what is now Sudan, known as one of the last surviving Nubian states along the Nile.
  • A. Everina
    Everina Wollstonecraft was an 18th-century English governess and writer, best known as the younger sister of feminist philosopher Mary Wollstonecraft.
  • B. Ledaal
    Ledaal is a historic manor house in Stavanger, Norway, that has served as a royal residence and cultural landmark.
  • C. Anuta
    Anuta is a small, remote Polynesian outlier island in the Solomon Islands known for its dense population, strong communal culture, and well-preserved traditional way of life.
  • D. Laleia
    Laleia is a town in northern Timor-Leste known as the birthplace of independence leader and former president Xanana Gusmão.
  • E. Mella
    Mella is a Spanish-language surname most notably associated with Cuban revolutionary leader Julio Antonio Mella.
  • 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_69a8864a83848190a4ec02721306c511 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb06b3f08819092b3fbdff83b3097 completed March 7, 2026, 4:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69adc9c9c6208190a2793994a7f927bd completed March 8, 2026, 7:11 p.m.
NEDg Description generation batch_69adcaf23e748190a031625208f4cf17 completed March 8, 2026, 7:16 p.m.
NED2 Entity disambiguation (via description) batch_69adcbf835b48190aaeb61f34f6aafdc completed March 8, 2026, 7:20 p.m.
Created at: March 4, 2026, 7:33 p.m.