Triple

T3117301
Position Surface form Disambiguated ID Type / Status
Subject Lake Kyoga E65092 entity
Predicate nearCity P350 FINISHED
Object Soroti
Soroti is a town in eastern Uganda that serves as a regional commercial and administrative center.
 E329617 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: Soroti | Statement: [Lake Kyoga, nearCity, Soroti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Soroti
Context triple: [Lake Kyoga, nearCity, Soroti]
  • A. Runyankole
    Runyankole is a Bantu language spoken primarily by the Banyankole people in southwestern Uganda.
  • B. Gwanda
    Gwanda is a small Zimbabwean town that serves as an administrative and commercial hub in the country’s arid south, known historically for cattle ranching and gold mining.
  • C. Kalangala
    Kalangala is a town on Uganda’s Ssese Islands in Lake Victoria, serving as the administrative and commercial center of Kalangala District.
  • D. Kiryandongo District
    Kiryandongo District is a central Ugandan district known for its agricultural communities and strategic location along major transport routes between Kampala and northern Uganda.
  • E. 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.
  • 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: Soroti
Triple: [Lake Kyoga, nearCity, Soroti]
Generated description
Soroti is a town in eastern Uganda that serves as a regional commercial and administrative center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Soroti
Target entity description: Soroti is a town in eastern Uganda that serves as a regional commercial and administrative center.
  • A. Runyankole
    Runyankole is a Bantu language spoken primarily by the Banyankole people in southwestern Uganda.
  • B. Gwanda
    Gwanda is a small Zimbabwean town that serves as an administrative and commercial hub in the country’s arid south, known historically for cattle ranching and gold mining.
  • C. Kalangala
    Kalangala is a town on Uganda’s Ssese Islands in Lake Victoria, serving as the administrative and commercial center of Kalangala District.
  • D. Kiryandongo District
    Kiryandongo District is a central Ugandan district known for its agricultural communities and strategic location along major transport routes between Kampala and northern Uganda.
  • E. 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.
  • 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_69ad857fcc088190b0c4d45a5cde6f61 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada4e73cc88190846ef37ccf1a0de7 completed March 8, 2026, 4:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20f606fc881908754a78e6aa2de64 completed March 12, 2026, 12:57 a.m.
NEDg Description generation batch_69b2134b5eac8190adadc4a27cfe10c7 completed March 12, 2026, 1:13 a.m.
NED2 Entity disambiguation (via description) batch_69b216fcb1a881908edeadc639de31ae completed March 12, 2026, 1:29 a.m.
Created at: March 8, 2026, 3:04 p.m.