Triple

T20325374
Position Surface form Disambiguated ID Type / Status
Subject Katanga Province E492318 entity
Predicate containsCity P294 FINISHED
Object Kipushi
Kipushi is a mining town in the southeastern Democratic Republic of the Congo, known for its rich deposits of copper, zinc, and other minerals.
 E1423467 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: Kipushi | Statement: [Katanga Province, containsCity, Kipushi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kipushi
Context triple: [Katanga Province, containsCity, Kipushi]
  • A. Matadi
    Matadi is a major port city in western Democratic Republic of the Congo, serving as the country’s principal seaport and a key gateway for trade between the Atlantic Ocean and the interior via the Congo River.
  • B. Kalungu
    Kalungu is a district in central Uganda that forms part of the traditional Buganda Kingdom region.
  • C. Lubumbashi
    Lubumbashi is the second-largest city in the Democratic Republic of the Congo and a major mining and commercial center in the southeastern part of the country.
  • D. Nacala
    Nacala is a coastal city in northern Mozambique known for its deep-water natural harbor and role as a major regional port and transport hub.
  • E. Ndola
    Ndola is a major industrial and commercial city in northern Zambia, serving as a key hub for mining, manufacturing, and regional trade.
  • 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: Kipushi
Triple: [Katanga Province, containsCity, Kipushi]
Generated description
Kipushi is a mining town in the southeastern Democratic Republic of the Congo, known for its rich deposits of copper, zinc, and other minerals.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kipushi
Target entity description: Kipushi is a mining town in the southeastern Democratic Republic of the Congo, known for its rich deposits of copper, zinc, and other minerals.
  • A. Matadi
    Matadi is a major port city in western Democratic Republic of the Congo, serving as the country’s principal seaport and a key gateway for trade between the Atlantic Ocean and the interior via the Congo River.
  • B. Kalungu
    Kalungu is a district in central Uganda that forms part of the traditional Buganda Kingdom region.
  • C. Lubumbashi
    Lubumbashi is the second-largest city in the Democratic Republic of the Congo and a major mining and commercial center in the southeastern part of the country.
  • D. Nacala
    Nacala is a coastal city in northern Mozambique known for its deep-water natural harbor and role as a major regional port and transport hub.
  • E. Ndola
    Ndola is a major industrial and commercial city in northern Zambia, serving as a key hub for mining, manufacturing, and regional trade.
  • 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_69e0b4a0134081909113563e1c3ba68a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6778f20288190b1862d6be61bfb67 completed April 20, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08612cc2c0819092d074fda6f0d995 completed May 16, 2026, 12:21 p.m.
NEDg Description generation batch_6a086264e3408190847a995f3538c70b completed May 16, 2026, 12:26 p.m.
NED2 Entity disambiguation (via description) batch_6a0863b6dd84819089344a5ff28bf0cf completed May 16, 2026, 12:31 p.m.
Created at: April 16, 2026, 11:21 a.m.