Triple

T5375844
Position Surface form Disambiguated ID Type / Status
Subject Ituri Province E108956 entity
Predicate hasCity P316 FINISHED
Object Mahagi
Mahagi is a town in northeastern Democratic Republic of the Congo, located near the border with Uganda in Ituri Province.
E516362 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: Mahagi | Statement: [Ituri Province, hasCity, Mahagi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mahagi
Context triple: [Ituri Province, hasCity, Mahagi]
  • A. Oghi
    Oghi is a town in Pakistan's Khyber Pakhtunkhwa province, known as a local administrative and commercial center within the Hazara region.
  • B. Harku
    Harku is a small settlement in northern Estonia located within Harku Parish, near the capital city of Tallinn.
  • C. Máfil
    Máfil is a small town and commune located in southern Chile's Los Ríos Region, known for its rural character and forestry-based economy.
  • D. Machimura
    Machimura is a Japanese surname most notably associated with Nobutaka Machimura, a prominent Liberal Democratic Party politician and former foreign minister of Japan.
  • E. Mantoro
    Mantoro is a traditional Japanese lantern festival held at Kasuga Taisha Shrine in Nara, where thousands of stone and hanging lanterns are lit to create a spectacular nighttime illumination.
  • 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: Mahagi
Triple: [Ituri Province, hasCity, Mahagi]
Generated description
Mahagi is a town in northeastern Democratic Republic of the Congo, located near the border with Uganda in Ituri Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mahagi
Target entity description: Mahagi is a town in northeastern Democratic Republic of the Congo, located near the border with Uganda in Ituri Province.
  • A. Oghi
    Oghi is a town in Pakistan's Khyber Pakhtunkhwa province, known as a local administrative and commercial center within the Hazara region.
  • B. Harku
    Harku is a small settlement in northern Estonia located within Harku Parish, near the capital city of Tallinn.
  • C. Máfil
    Máfil is a small town and commune located in southern Chile's Los Ríos Region, known for its rural character and forestry-based economy.
  • D. Machimura
    Machimura is a Japanese surname most notably associated with Nobutaka Machimura, a prominent Liberal Democratic Party politician and former foreign minister of Japan.
  • E. Mantoro
    Mantoro is a traditional Japanese lantern festival held at Kasuga Taisha Shrine in Nara, where thousands of stone and hanging lanterns are lit to create a spectacular nighttime illumination.
  • 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_69bd440c77948190aad2a5f39b7b80f5 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd86aed2a8819089d9e699f53563db completed March 20, 2026, 5:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf293f6458819091c32080782b56ed completed March 21, 2026, 11:26 p.m.
NEDg Description generation batch_69bf2a23ba1881909ddc549728bbc2d3 completed March 21, 2026, 11:30 p.m.
NED2 Entity disambiguation (via description) batch_69bf2e6d5f9081908327dff0058241f0 completed March 21, 2026, 11:49 p.m.
Created at: March 20, 2026, 2:03 p.m.