Triple

T3198780
Position Surface form Disambiguated ID Type / Status
Subject Mwinilunga District E66994 entity
Predicate capital P234 FINISHED
Object Mwinilunga
Mwinilunga is a town in northwestern Zambia known as an administrative and commercial center near the borders with Angola and the Democratic Republic of the Congo.
 E346227 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: Mwinilunga | Statement: [Mwinilunga District, capital, Mwinilunga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mwinilunga
Context triple: [Mwinilunga District, capital, Mwinilunga]
  • A. Mzuzu
    Mzuzu is a major city in northern Malawi known as an important commercial and administrative center for the region.
  • B. Mbagala
    "Mbagala" is a popular hit song by Tanzanian Bongo Flava artist Diamond Platnumz that helped establish his early fame in East Africa.
  • C. Kamwambie
    "Kamwambie" is a popular song by Tanzanian Bongo Flava artist Diamond Platnumz that helped establish his early fame in East Africa.
  • D. Monguno
    Monguno is a town and local government area in Borno State, northeastern Nigeria, known for its strategic location and role in regional security dynamics.
  • E. Mtiuleti
    Mtiuleti is a mountainous historical region in northeastern Georgia known for its rugged landscapes and traditional highland villages.
  • 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: Mwinilunga
Triple: [Mwinilunga District, capital, Mwinilunga]
Generated description
Mwinilunga is a town in northwestern Zambia known as an administrative and commercial center near the borders with Angola and the Democratic Republic of the Congo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mwinilunga
Target entity description: Mwinilunga is a town in northwestern Zambia known as an administrative and commercial center near the borders with Angola and the Democratic Republic of the Congo.
  • A. Mzuzu
    Mzuzu is a major city in northern Malawi known as an important commercial and administrative center for the region.
  • B. Mbagala
    "Mbagala" is a popular hit song by Tanzanian Bongo Flava artist Diamond Platnumz that helped establish his early fame in East Africa.
  • C. Kamwambie
    "Kamwambie" is a popular song by Tanzanian Bongo Flava artist Diamond Platnumz that helped establish his early fame in East Africa.
  • D. Monguno
    Monguno is a town and local government area in Borno State, northeastern Nigeria, known for its strategic location and role in regional security dynamics.
  • E. Mtiuleti
    Mtiuleti is a mountainous historical region in northeastern Georgia known for its rugged landscapes and traditional highland villages.
  • 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_69ad8589bd988190afa7ed2bdffb7b33 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada9abe8f88190a4c2ccc31add7959 completed March 8, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f3b7e5c48190a8fc84ae78d4bd66 completed March 12, 2026, 5:11 p.m.
NEDg Description generation batch_69b2fa0ed27c8190a32c153b44b7b2dd completed March 12, 2026, 5:38 p.m.
NED2 Entity disambiguation (via description) batch_69b312b273b48190a949e61b87722084 completed March 12, 2026, 7:23 p.m.
Created at: March 8, 2026, 3:07 p.m.