Triple

T630088
Position Surface form Disambiguated ID Type / Status
Subject Lesotho E15906 entity
Predicate capital P234 FINISHED
Object Maseru
Maseru is the largest city and administrative, economic, and cultural center of the Kingdom of Lesotho in southern Africa.
 E78539 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: Maseru | Statement: [Lesotho, capital, Maseru]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Maseru
Context triple: [Lesotho, capital, Maseru]
  • A. Gaborone
    Gaborone is the capital and largest city of Botswana, serving as its political and economic center.
  • B. Maputo
    Maputo is the largest city and main economic and cultural center of Mozambique, located on the country’s southern coast along the Indian Ocean.
  • C. Bloemfontein
    Bloemfontein is a major South African city known as the seat of the country’s highest courts and one of its three national capitals.
  • D. Bulawayo
    Bulawayo is Zimbabwe’s second-largest city and a major industrial, cultural, and transport hub in the southwestern part of the country.
  • E. Pretoria, South Africa
    Pretoria, South Africa is one of the country’s three capital cities, serving as the administrative capital and a major center for government, education, and culture.
  • 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: Maseru
Triple: [Lesotho, capital, Maseru]
Generated description
Maseru is the largest city and administrative, economic, and cultural center of the Kingdom of Lesotho in southern Africa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Maseru
Target entity description: Maseru is the largest city and administrative, economic, and cultural center of the Kingdom of Lesotho in southern Africa.
  • A. Gaborone
    Gaborone is the capital and largest city of Botswana, serving as its political and economic center.
  • B. Maputo
    Maputo is the largest city and main economic and cultural center of Mozambique, located on the country’s southern coast along the Indian Ocean.
  • C. Bloemfontein
    Bloemfontein is a major South African city known as the seat of the country’s highest courts and one of its three national capitals.
  • D. Bulawayo
    Bulawayo is Zimbabwe’s second-largest city and a major industrial, cultural, and transport hub in the southwestern part of the country.
  • E. Pretoria, South Africa
    Pretoria, South Africa is one of the country’s three capital cities, serving as the administrative capital and a major center for government, education, and culture.
  • 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_69a4935c131c8190a5378c6bf101e8cc completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49ec051bc8190b3e3f8651a367d77 completed March 1, 2026, 8:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69a56939d6ec81909770c4484605763b completed March 2, 2026, 10:40 a.m.
NEDg Description generation batch_69a569ab830081908af0044ddeaf16e9 completed March 2, 2026, 10:42 a.m.
NED2 Entity disambiguation (via description) batch_69a569fa62d4819080d2da9236f18206 completed March 2, 2026, 10:44 a.m.
Created at: March 1, 2026, 7:35 p.m.