Triple

T3152606
Position Surface form Disambiguated ID Type / Status
Subject Murchison Falls National Park E65909 entity
Predicate nearestCity P350 FINISHED
Object Masindi
Masindi is a town in western Uganda that serves as a key gateway and service center for visitors to Murchison Falls National Park.
 E330864 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: Masindi | Statement: [Murchison Falls National Park, nearestCity, Masindi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Masindi
Context triple: [Murchison Falls National Park, nearestCity, Masindi]
  • A. Mbabane
    Mbabane is the largest city and administrative center of Eswatini, located in the country's western highlands.
  • B. Mzuzu
    Mzuzu is a major city in northern Malawi known as an important commercial and administrative center for the region.
  • C. Egoli
    Egoli is a common nickname for Johannesburg, South Africa’s major economic hub often referred to as the "City of Gold."
  • D. Mogoditshane
    Mogoditshane is a rapidly growing suburban township located just outside Botswana’s capital, Gaborone.
  • E. 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.
  • 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: Masindi
Triple: [Murchison Falls National Park, nearestCity, Masindi]
Generated description
Masindi is a town in western Uganda that serves as a key gateway and service center for visitors to Murchison Falls National Park.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Masindi
Target entity description: Masindi is a town in western Uganda that serves as a key gateway and service center for visitors to Murchison Falls National Park.
  • A. Mbabane
    Mbabane is the largest city and administrative center of Eswatini, located in the country's western highlands.
  • B. Mzuzu
    Mzuzu is a major city in northern Malawi known as an important commercial and administrative center for the region.
  • C. Egoli
    Egoli is a common nickname for Johannesburg, South Africa’s major economic hub often referred to as the "City of Gold."
  • D. Mogoditshane
    Mogoditshane is a rapidly growing suburban township located just outside Botswana’s capital, Gaborone.
  • E. 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.
  • 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_69ad8584485081909ed529e890cadc4a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada5c27258819099c46a657779780b completed March 8, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2250088c48190a226031afda38d87 completed March 12, 2026, 2:29 a.m.
NEDg Description generation batch_69b2258a16a8819080f4bac7a63fa145 completed March 12, 2026, 2:31 a.m.
NED2 Entity disambiguation (via description) batch_69b225e072908190bcdde199b1ec2f4c completed March 12, 2026, 2:33 a.m.
Created at: March 8, 2026, 3:05 p.m.