Triple

T9516613
Position Surface form Disambiguated ID Type / Status
Subject Gelimer E229541 entity
Predicate alternativeName P39 FINISHED
Object Gelimar
Gelimar was the last king of the Vandal Kingdom in North Africa, known for his defeat by the Byzantine general Belisarius in the 6th century.
 E804385 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: Gelimar | Statement: [Gelimer, alternativeName, Gelimar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gelimar
Context triple: [Gelimer, alternativeName, Gelimar]
  • A. Ualamo
    Ualamo is an alternative name for Wolaytta, an Omotic language spoken primarily in southwestern Ethiopia.
  • B. Dumarao
    Dumarao is a municipality in the province of Capiz in the Western Visayas region of the Philippines, known for its predominantly agricultural economy and rural communities.
  • C. Zemba
    Zemba is a Bantu language variety spoken primarily in southwestern Angola and northern Namibia, closely related to and often considered a dialect of Herero.
  • D. Galibi
    Galibi is a coastal village in northeastern Suriname known for its indigenous communities and important sea turtle nesting beaches.
  • E. Ilami
    Ilami is a regional variety of Southern Kurdish spoken primarily in and around the city of Ilam in western Iran.
  • 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: Gelimar
Triple: [Gelimer, alternativeName, Gelimar]
Generated description
Gelimar was the last king of the Vandal Kingdom in North Africa, known for his defeat by the Byzantine general Belisarius in the 6th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gelimar
Target entity description: Gelimar was the last king of the Vandal Kingdom in North Africa, known for his defeat by the Byzantine general Belisarius in the 6th century.
  • A. Ualamo
    Ualamo is an alternative name for Wolaytta, an Omotic language spoken primarily in southwestern Ethiopia.
  • B. Dumarao
    Dumarao is a municipality in the province of Capiz in the Western Visayas region of the Philippines, known for its predominantly agricultural economy and rural communities.
  • C. Zemba
    Zemba is a Bantu language variety spoken primarily in southwestern Angola and northern Namibia, closely related to and often considered a dialect of Herero.
  • D. Galibi
    Galibi is a coastal village in northeastern Suriname known for its indigenous communities and important sea turtle nesting beaches.
  • E. Ilami
    Ilami is a regional variety of Southern Kurdish spoken primarily in and around the city of Ilam in western Iran.
  • 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_69ca84777560819084cddd999badc1aa completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd987eefec8190b0db1928776bf02b completed April 1, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69d13a4aeb008190ae5d54367efe2722 completed April 4, 2026, 4:20 p.m.
NEDg Description generation batch_69d13c78d6108190ad2cab79070077a8 completed April 4, 2026, 4:29 p.m.
NED2 Entity disambiguation (via description) batch_69d13d2aac8c8190a00c8fe820baa732 completed April 4, 2026, 4:32 p.m.
Created at: March 30, 2026, 7:58 p.m.