Triple

T16886110
Position Surface form Disambiguated ID Type / Status
Subject Ebola River E421543 entity
Predicate nearSettlement P3883 FINISHED
Object Bumba
Bumba is a town and river port in the northern Democratic Republic of the Congo, situated along the Congo River and serving as a regional transport and trade hub.
 E1238551 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: Bumba | Statement: [Ebola River, nearSettlement, Bumba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bumba
Context triple: [Ebola River, nearSettlement, Bumba]
  • A. Bumba
    Bumba is a Romanian professional footballer known for playing as an attacking midfielder and winger for various clubs in Europe.
  • B. Bumba Da
    Bumba Da is the popular nickname of Prosenjit Chatterjee, a leading Bengali film actor and one of the most influential stars in contemporary Bengali cinema.
  • C. Yambu
    Yambu is a coastal city in western Saudi Arabia on the Red Sea, known as an important port and industrial center.
  • D. Bamba
    Bamba is a given name most notably borne by Bamba Müller, the Egyptian wife of Maharaja Duleep Singh of the Sikh Empire.
  • E. Babbalanja
    Babbalanja is a philosophical and skeptical character in Herman Melville’s novel "Mardi," known for his reflective monologues and probing critiques of religion, politics, and society.
  • 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: Bumba
Triple: [Ebola River, nearSettlement, Bumba]
Generated description
Bumba is a town and river port in the northern Democratic Republic of the Congo, situated along the Congo River and serving as a regional transport and trade hub.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bumba
Target entity description: Bumba is a town and river port in the northern Democratic Republic of the Congo, situated along the Congo River and serving as a regional transport and trade hub.
  • A. Bumba
    Bumba is a Romanian professional footballer known for playing as an attacking midfielder and winger for various clubs in Europe.
  • B. Bumba Da
    Bumba Da is the popular nickname of Prosenjit Chatterjee, a leading Bengali film actor and one of the most influential stars in contemporary Bengali cinema.
  • C. Yambu
    Yambu is a coastal city in western Saudi Arabia on the Red Sea, known as an important port and industrial center.
  • D. Bamba
    Bamba is a given name most notably borne by Bamba Müller, the Egyptian wife of Maharaja Duleep Singh of the Sikh Empire.
  • E. Babbalanja
    Babbalanja is a philosophical and skeptical character in Herman Melville’s novel "Mardi," known for his reflective monologues and probing critiques of religion, politics, and society.
  • 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_69d889d470fc8190b4aec199636c0c56 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3bbc126e881909dae8133ad34acc9 completed April 18, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c2bcf290819098be9def471e02b8 completed May 10, 2026, 5:39 p.m.
NEDg Description generation batch_6a00c3c25e9481908327bb6646212368 completed May 10, 2026, 5:43 p.m.
NED2 Entity disambiguation (via description) batch_6a00c44e37b48190a62b315ddbbd4ec4 completed May 10, 2026, 5:45 p.m.
Created at: April 10, 2026, 5:29 a.m.