Triple

T12294661
Position Surface form Disambiguated ID Type / Status
Subject Jinja District E293051 entity
Predicate hasUrbanCenter P2106 FINISHED
Object Njeru
Njeru is a town in eastern Uganda located near the source of the Nile River, known for its industrial activities and proximity to Jinja.
E975293 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: Njeru | Statement: [Jinja District, hasUrbanCenter, Njeru]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Njeru
Context triple: [Jinja District, hasUrbanCenter, Njeru]
  • A. Njaba
    Njaba is a local government area in southeastern Nigeria known for its communities within Imo State and its role in local administration and commerce.
  • B. Naju
    Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
  • C. Nansio
    Nansio is the main town and administrative center of Ukerewe Island in Lake Victoria, Tanzania.
  • D. Eusa
    Eusa is the Breton name for Ushant, an island off the western tip of Brittany in France known for its rugged coastline and maritime heritage.
  • E. Tjenu
    Tjenu is an ancient Egyptian city better known by its Greek name Thinis, traditionally regarded as the early royal capital of unified Egypt.
  • 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: Njeru
Triple: [Jinja District, hasUrbanCenter, Njeru]
Generated description
Njeru is a town in eastern Uganda located near the source of the Nile River, known for its industrial activities and proximity to Jinja.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Njeru
Target entity description: Njeru is a town in eastern Uganda located near the source of the Nile River, known for its industrial activities and proximity to Jinja.
  • A. Njaba
    Njaba is a local government area in southeastern Nigeria known for its communities within Imo State and its role in local administration and commerce.
  • B. Naju
    Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
  • C. Nansio
    Nansio is the main town and administrative center of Ukerewe Island in Lake Victoria, Tanzania.
  • D. Eusa
    Eusa is the Breton name for Ushant, an island off the western tip of Brittany in France known for its rugged coastline and maritime heritage.
  • E. Tjenu
    Tjenu is an ancient Egyptian city better known by its Greek name Thinis, traditionally regarded as the early royal capital of unified Egypt.
  • 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_69d6ab690ad081908c0ed3870ec82d53 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93ed7251c8190b94d7cd75ad49b9c completed April 10, 2026, 6:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e79bf548190bf7f314222ed1ed1 completed May 2, 2026, 3:55 p.m.
NEDg Description generation batch_69f62260d6708190808e52935a27e2c1 completed May 2, 2026, 4:12 p.m.
NED2 Entity disambiguation (via description) batch_69f6230f4c8081908a759efa43b4800b completed May 2, 2026, 4:15 p.m.
Created at: April 8, 2026, 9:52 p.m.