Triple

T13804642
Position Surface form Disambiguated ID Type / Status
Subject Eastern Region of Uganda E331727 entity
Predicate hasUrbanCenter P2106 FINISHED
Object Tororo
Tororo is a town in eastern Uganda known as an important commercial and transport hub near the Kenyan border.
 E1063499 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: Tororo | Statement: [Eastern Region of Uganda, hasUrbanCenter, Tororo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tororo
Context triple: [Eastern Region of Uganda, hasUrbanCenter, Tororo]
  • A. Tocho
    Tocho is the common nickname for the Tokyo Metropolitan Government Building, a prominent skyscraper complex in Shinjuku that houses Tokyo’s metropolitan administration and offers popular observation decks.
  • B. Takaro
    Takaro is a residential suburb located within the city of Palmerston North in New Zealand.
  • C. Barugo
    Barugo is a coastal municipality in the province of Leyte in the Eastern Visayas region of the Philippines, known for its agricultural economy and rural communities.
  • D. Taro
    Taro is a common Japanese male given name, often written with kanji meaning "eldest son" or similar traditional connotations.
  • E. Taro
    The Taro is a river in northern Italy that flows through the Emilia-Romagna region and ultimately joins the Po 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: Tororo
Triple: [Eastern Region of Uganda, hasUrbanCenter, Tororo]
Generated description
Tororo is a town in eastern Uganda known as an important commercial and transport hub near the Kenyan border.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tororo
Target entity description: Tororo is a town in eastern Uganda known as an important commercial and transport hub near the Kenyan border.
  • A. Tocho
    Tocho is the common nickname for the Tokyo Metropolitan Government Building, a prominent skyscraper complex in Shinjuku that houses Tokyo’s metropolitan administration and offers popular observation decks.
  • B. Takaro
    Takaro is a residential suburb located within the city of Palmerston North in New Zealand.
  • C. Barugo
    Barugo is a coastal municipality in the province of Leyte in the Eastern Visayas region of the Philippines, known for its agricultural economy and rural communities.
  • D. Taro
    Taro is a common Japanese male given name, often written with kanji meaning "eldest son" or similar traditional connotations.
  • E. Taro
    The Taro is a river in northern Italy that flows through the Emilia-Romagna region and ultimately joins the Po 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de026c36108190a7436034a730a261 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8da594c81908cb878a8cc1b3a72 completed May 3, 2026, 9:06 p.m.
NEDg Description generation batch_69f7ba1afc048190a0053497acc64fb1 completed May 3, 2026, 9:11 p.m.
NED2 Entity disambiguation (via description) batch_69f7ba99ad9c8190906b6b63cf27a446 completed May 3, 2026, 9:14 p.m.
Created at: April 9, 2026, 10:12 p.m.