Triple

T8698508
Position Surface form Disambiguated ID Type / Status
Subject Alodia E206462 entity
Predicate alternativeName P39 FINISHED
Object Alwa
Alwa is an alternative historical name for the medieval Nubian kingdom of Alodia in what is now Sudan.
 E750901 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: Alwa | Statement: [Alodia, alternativeName, Alwa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Alwa
Context triple: [Alodia, alternativeName, Alwa]
  • A. Ala
    Ala is the Igbo earth goddess and principal deity of morality, fertility, and the underworld in traditional Igbo religion.
  • B. Alnôba
    Alnôba is an Indigenous Algonquian language traditionally spoken by the Western Abenaki people of northeastern North America.
  • C. Aldan
    Aldan is a mining town in Russia’s Sakha Republic known for its significant gold deposits and remote Siberian location.
  • D. Alata
    Alata is a coastal commune in the Corse-du-Sud department of Corsica, France, situated near the Gulf of Ajaccio and known for its scenic Mediterranean setting.
  • E. Alata
    Alata is a local area or neighborhood that forms part of the larger Osu district in Accra, Ghana.
  • 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: Alwa
Triple: [Alodia, alternativeName, Alwa]
Generated description
Alwa is an alternative historical name for the medieval Nubian kingdom of Alodia in what is now Sudan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Alwa
Target entity description: Alwa is an alternative historical name for the medieval Nubian kingdom of Alodia in what is now Sudan.
  • A. Ala
    Ala is the Igbo earth goddess and principal deity of morality, fertility, and the underworld in traditional Igbo religion.
  • B. Alnôba
    Alnôba is an Indigenous Algonquian language traditionally spoken by the Western Abenaki people of northeastern North America.
  • C. Aldan
    Aldan is a mining town in Russia’s Sakha Republic known for its significant gold deposits and remote Siberian location.
  • D. Alata
    Alata is a coastal commune in the Corse-du-Sud department of Corsica, France, situated near the Gulf of Ajaccio and known for its scenic Mediterranean setting.
  • E. Alata
    Alata is a local area or neighborhood that forms part of the larger Osu district in Accra, Ghana.
  • 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_69ca83555b6c8190abe930dd397e863b completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc58af50408190a3b81100a759795e completed March 31, 2026, 11:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef40e7a2881909e2d7eee0d931992 completed April 2, 2026, 10:56 p.m.
NEDg Description generation batch_69cef66624348190b1f922b8148553a2 completed April 2, 2026, 11:06 p.m.
NED2 Entity disambiguation (via description) batch_69cef6d9ea7c81909dfefb8540636092 completed April 2, 2026, 11:08 p.m.
Created at: March 30, 2026, 6:34 p.m.