Triple

T23027614
Position Surface form Disambiguated ID Type / Status
Subject Makuria E573361 entity
Predicate alternativeName P39 FINISHED
Object Makurra
Makurra is an alternative name for the medieval Nubian Christian kingdom of Makuria, which flourished along the Nile in what is now northern Sudan and southern Egypt.
 E1566224 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: Makurra | Statement: [Makuria, alternativeName, Makurra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Makurra
Context triple: [Makuria, alternativeName, Makurra]
  • A. Yakoma
    Yakoma is a Bantu language spoken by the Yakoma people primarily in the Central African Republic.
  • B. Mamaku
    Mamaku is a small rural settlement in New Zealand’s North Island, located on the Mamaku Plateau northwest of Rotorua.
  • C. Makuna
    Makuna is an indigenous Tucanoan language spoken by the Makuna people of the northwest Amazon region, primarily in Colombia and Brazil.
  • D. Maraka
    Maraka refers to a subgroup of the Soninke people of West Africa, historically known as long-distance traders and merchants in the Sahel region.
  • E. Makaroa
    Makaroa is one of the smaller, remote islands in the Gambier Islands archipelago of French Polynesia in the South Pacific Ocean.
  • 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: Makurra
Triple: [Makuria, alternativeName, Makurra]
Generated description
Makurra is an alternative name for the medieval Nubian Christian kingdom of Makuria, which flourished along the Nile in what is now northern Sudan and southern Egypt.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Makurra
Target entity description: Makurra is an alternative name for the medieval Nubian Christian kingdom of Makuria, which flourished along the Nile in what is now northern Sudan and southern Egypt.
  • A. Yakoma
    Yakoma is a Bantu language spoken by the Yakoma people primarily in the Central African Republic.
  • B. Mamaku
    Mamaku is a small rural settlement in New Zealand’s North Island, located on the Mamaku Plateau northwest of Rotorua.
  • C. Makuna
    Makuna is an indigenous Tucanoan language spoken by the Makuna people of the northwest Amazon region, primarily in Colombia and Brazil.
  • D. Maraka
    Maraka refers to a subgroup of the Soninke people of West Africa, historically known as long-distance traders and merchants in the Sahel region.
  • E. Makaroa
    Makaroa is one of the smaller, remote islands in the Gambier Islands archipelago of French Polynesia in the South Pacific Ocean.
  • 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_69e245b821008190b0e09cb02092aae1 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1847e48c48190894525c354663dd2 completed April 29, 2026, 4:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bf2b1cfc081909681be870918ef5b completed May 19, 2026, 5:18 a.m.
NEDg Description generation batch_6a0bf376736481908d6cbe5feb46044b completed May 19, 2026, 5:21 a.m.
NED2 Entity disambiguation (via description) batch_6a0bf404aeb48190962e0e0fcd82c9eb completed May 19, 2026, 5:24 a.m.
Created at: April 17, 2026, 3:52 p.m.