Triple

T6561913
Position Surface form Disambiguated ID Type / Status
Subject Kongo Central Province E153802 entity
Predicate hasCity P316 FINISHED
Object Kasangulu
Kasangulu is a town and transport hub in western Democratic Republic of the Congo, located near Kinshasa and known for its position along key road and rail routes.
E606582 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: Kasangulu | Statement: [Kongo Central Province, hasCity, Kasangulu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kasangulu
Context triple: [Kongo Central Province, hasCity, Kasangulu]
  • A. Vilankulo
    Vilankulo is a coastal town in southern Mozambique known as the main gateway to the nearby Bazaruto Archipelago and its popular beach and marine tourism.
  • B. Kwale
    Kwale is a small town in southeastern Kenya that serves as the administrative headquarters of Kwale County near the Indian Ocean coast.
  • C. Kolaka
    Kolaka is a coastal town and important regional center on the island of Sulawesi in Indonesia, known for its mining activities and role as a transport hub in Southeast Sulawesi.
  • D. Mangini
    Mangini is an Italian surname most notably associated with former NFL head coach and analyst Eric Mangini.
  • E. Unawatuna
    Unawatuna is a popular coastal town in southern Sri Lanka known for its palm-fringed beach, coral-rich bay, and laid-back tourist atmosphere.
  • 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: Kasangulu
Triple: [Kongo Central Province, hasCity, Kasangulu]
Generated description
Kasangulu is a town and transport hub in western Democratic Republic of the Congo, located near Kinshasa and known for its position along key road and rail routes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kasangulu
Target entity description: Kasangulu is a town and transport hub in western Democratic Republic of the Congo, located near Kinshasa and known for its position along key road and rail routes.
  • A. Vilankulo
    Vilankulo is a coastal town in southern Mozambique known as the main gateway to the nearby Bazaruto Archipelago and its popular beach and marine tourism.
  • B. Kwale
    Kwale is a small town in southeastern Kenya that serves as the administrative headquarters of Kwale County near the Indian Ocean coast.
  • C. Kolaka
    Kolaka is a coastal town and important regional center on the island of Sulawesi in Indonesia, known for its mining activities and role as a transport hub in Southeast Sulawesi.
  • D. Mangini
    Mangini is an Italian surname most notably associated with former NFL head coach and analyst Eric Mangini.
  • E. Unawatuna
    Unawatuna is a popular coastal town in southern Sri Lanka known for its palm-fringed beach, coral-rich bay, and laid-back tourist atmosphere.
  • 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_69c6880cb35881909b763eb0125236b9 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae38e94081908f964d130f9147d8 completed March 27, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e42523848190b02682e6a640ac05 completed March 27, 2026, 8:10 p.m.
NEDg Description generation batch_69c6e50db2cc8190932c4d44257acb83 completed March 27, 2026, 8:14 p.m.
NED2 Entity disambiguation (via description) batch_69c6e5eacefc819092d0e9f79d90c4a6 completed March 27, 2026, 8:17 p.m.
Created at: March 27, 2026, 1:52 p.m.