Triple

T5007327
Position Surface form Disambiguated ID Type / Status
Subject Juba E112528 entity
Predicate roadConnection P385 FINISHED
Object Nimule
Nimule is a South Sudanese border town near Uganda that serves as a key trade and transport hub in the region.
E488252 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: Nimule | Statement: [Juba, roadConnection, Nimule]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nimule
Context triple: [Juba, roadConnection, Nimule]
  • A. Soroti
    Soroti is a town in eastern Uganda that serves as a regional commercial and administrative center.
  • B. Gokwe
    Gokwe is a town in central Zimbabwe known for its cotton farming and role as a commercial hub in the Midlands Province.
  • C. 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.
  • D. Butembo
    Butembo is a major commercial city in eastern Democratic Republic of the Congo, known as a trading hub and economic center in North Kivu.
  • E. Bunia
    Bunia is a city in northeastern Democratic Republic of the Congo that has been a focal point of regional conflict and international peacekeeping efforts.
  • 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: Nimule
Triple: [Juba, roadConnection, Nimule]
Generated description
Nimule is a South Sudanese border town near Uganda that serves as a key trade and transport hub in the region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nimule
Target entity description: Nimule is a South Sudanese border town near Uganda that serves as a key trade and transport hub in the region.
  • A. Soroti
    Soroti is a town in eastern Uganda that serves as a regional commercial and administrative center.
  • B. Gokwe
    Gokwe is a town in central Zimbabwe known for its cotton farming and role as a commercial hub in the Midlands Province.
  • C. 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.
  • D. Butembo
    Butembo is a major commercial city in eastern Democratic Republic of the Congo, known as a trading hub and economic center in North Kivu.
  • E. Bunia
    Bunia is a city in northeastern Democratic Republic of the Congo that has been a focal point of regional conflict and international peacekeeping efforts.
  • 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_69bd4433d0b08190877e83959ef40d81 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd72e8a0308190a47d81943ad85bba completed March 20, 2026, 4:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9c57f3e88190a3059b6bd9b38a07 completed March 21, 2026, 1:25 p.m.
NEDg Description generation batch_69be9d7aa444819094611440eda9d798 completed March 21, 2026, 1:30 p.m.
NED2 Entity disambiguation (via description) batch_69be9d968ab88190930fa0c72ee56953 completed March 21, 2026, 1:31 p.m.
Created at: March 20, 2026, 1:35 p.m.