Triple

T13680410
Position Surface form Disambiguated ID Type / Status
Subject Orientale Province E327984 entity
Predicate containsCity P294 FINISHED
Object Isiro
Isiro is a city in the northeastern Democratic Republic of the Congo that serves as an important regional center for trade and administration.
E1055537 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: Isiro | Statement: [Orientale Province, containsCity, Isiro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Isiro
Context triple: [Orientale Province, containsCity, Isiro]
  • A. Butembo
    Butembo is a major commercial city in eastern Democratic Republic of the Congo, known as a trading hub and economic center in North Kivu.
  • B. Abamakoro
    Abamakoro is a small village located on the island of Nonouti in the Republic of Kiribati in the central Pacific Ocean.
  • C. Butiama
    Butiama is a village in northern Tanzania best known as the birthplace and hometown of the country’s founding president, Julius Nyerere.
  • D. Bukoba
    Bukoba is a town on the western shore of Lake Victoria in northwestern Tanzania, serving as the capital of the Kagera Region and a local transport and trade hub.
  • E. Macheke
    Macheke is a small town in eastern Zimbabwe situated along a major route between Harare and Mutare, known for its surrounding agricultural activities.
  • 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: Isiro
Triple: [Orientale Province, containsCity, Isiro]
Generated description
Isiro is a city in the northeastern Democratic Republic of the Congo that serves as an important regional center for trade and administration.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Isiro
Target entity description: Isiro is a city in the northeastern Democratic Republic of the Congo that serves as an important regional center for trade and administration.
  • A. Butembo
    Butembo is a major commercial city in eastern Democratic Republic of the Congo, known as a trading hub and economic center in North Kivu.
  • B. Abamakoro
    Abamakoro is a small village located on the island of Nonouti in the Republic of Kiribati in the central Pacific Ocean.
  • C. Butiama
    Butiama is a village in northern Tanzania best known as the birthplace and hometown of the country’s founding president, Julius Nyerere.
  • D. Bukoba
    Bukoba is a town on the western shore of Lake Victoria in northwestern Tanzania, serving as the capital of the Kagera Region and a local transport and trade hub.
  • E. Macheke
    Macheke is a small town in eastern Zimbabwe situated along a major route between Harare and Mutare, known for its surrounding agricultural activities.
  • 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_69d8076f1fa8819094664a59b55010df completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc66cbb088190907cb89dda8e4ebd completed April 12, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7944347a08190bc1386e78ddb3e71 completed May 3, 2026, 6:30 p.m.
NEDg Description generation batch_69f79523bf608190addeca563bea132e completed May 3, 2026, 6:34 p.m.
NED2 Entity disambiguation (via description) batch_69f7965cc9f88190acbf232615a9e87b completed May 3, 2026, 6:39 p.m.
Created at: April 9, 2026, 9:53 p.m.