Triple

T1709593
Position Surface form Disambiguated ID Type / Status
Subject Burundi E36947 entity
Predicate capital P234 FINISHED
Object Gitega
Gitega is the political and administrative capital city of Burundi, located in the central part of the country.
E195559 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: Gitega | Statement: [Burundi, capital, Gitega]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gitega
Context triple: [Burundi, capital, Gitega]
  • A. Kigali
    Kigali is the capital and largest city of Rwanda, known as a major political and economic hub in East Africa.
  • B. Mpanda
    Mpanda is a town in western Tanzania that serves as an important administrative and commercial hub for the surrounding region.
  • C. Masvingo
    Masvingo is one of Zimbabwe’s oldest urban centers, located in the country’s southeastern region near the Great Zimbabwe ruins.
  • D. Tabora
    Tabora is a historic town in western Tanzania known as a regional trade center and former hub of 19th-century caravan routes.
  • E. Dodoma
    Dodoma is the political and administrative capital city of Tanzania, located in the country’s central region.
  • 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: Gitega
Triple: [Burundi, capital, Gitega]
Generated description
Gitega is the political and administrative capital city of Burundi, located in the central part of the country.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gitega
Target entity description: Gitega is the political and administrative capital city of Burundi, located in the central part of the country.
  • A. Kigali
    Kigali is the capital and largest city of Rwanda, known as a major political and economic hub in East Africa.
  • B. Mpanda
    Mpanda is a town in western Tanzania that serves as an important administrative and commercial hub for the surrounding region.
  • C. Masvingo
    Masvingo is one of Zimbabwe’s oldest urban centers, located in the country’s southeastern region near the Great Zimbabwe ruins.
  • D. Tabora
    Tabora is a historic town in western Tanzania known as a regional trade center and former hub of 19th-century caravan routes.
  • E. Dodoma
    Dodoma is the political and administrative capital city of Tanzania, located in the country’s central region.
  • 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_69a88617439c819094ffb5d16a0f6307 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa631329088190a2ce8f755bd69fc7 completed March 6, 2026, 5:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada0d1882c81908e02e36ab28e7fdc completed March 8, 2026, 4:16 p.m.
NEDg Description generation batch_69ada1a2122481909c7a3470e090af17 completed March 8, 2026, 4:19 p.m.
NED2 Entity disambiguation (via description) batch_69ada23515d08190833ad1a35bb7a265 completed March 8, 2026, 4:22 p.m.
Created at: March 4, 2026, 7:30 p.m.