Triple

T23257235
Position Surface form Disambiguated ID Type / Status
Subject Kenema District E581905 entity
Predicate largestCity P235 FINISHED
Object Kenema
Kenema is a major city in eastern Sierra Leone known as a commercial and administrative center for the surrounding diamond- and agriculture-rich region.
 E581905 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: Kenema | Statement: [Kenema District, largestCity, Kenema]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kenema
Context triple: [Kenema District, largestCity, Kenema]
  • A. Kenema District
    Kenema District is an administrative district in eastern Sierra Leone known for its predominantly Mende population and rich agricultural and diamond-mining activities.
  • B. Nzérékoré
    Nzérékoré is a major city in southeastern Guinea known as an important commercial and administrative center near the borders with Liberia and Côte d'Ivoire.
  • C. Kpando
    Kpando is a town in Ghana’s Volta Region, known as a local commercial center near the Volta Lake.
  • D. Bolgatanga
    Bolgatanga is a town in northern Ghana known as a commercial and cultural hub, particularly famous for its traditional crafts and vibrant market.
  • E. Serekunda
    Serekunda is the most populous urban center and a major commercial hub in The Gambia.
  • 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: Kenema
Triple: [Kenema District, largestCity, Kenema]
Generated description
Kenema is a major city in eastern Sierra Leone known as a commercial and administrative center for the surrounding diamond- and agriculture-rich region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kenema
Target entity description: Kenema is a major city in eastern Sierra Leone known as a commercial and administrative center for the surrounding diamond- and agriculture-rich region.
  • A. Kenema District chosen
    Kenema District is an administrative district in eastern Sierra Leone known for its predominantly Mende population and rich agricultural and diamond-mining activities.
  • B. Nzérékoré
    Nzérékoré is a major city in southeastern Guinea known as an important commercial and administrative center near the borders with Liberia and Côte d'Ivoire.
  • C. Kpando
    Kpando is a town in Ghana’s Volta Region, known as a local commercial center near the Volta Lake.
  • D. Bolgatanga
    Bolgatanga is a town in northern Ghana known as a commercial and cultural hub, particularly famous for its traditional crafts and vibrant market.
  • E. Serekunda
    Serekunda is the most populous urban center and a major commercial hub in The Gambia.
  • F. None of above.

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_69e246079f58819085eaa9c260906880 completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f194c5f5bc8190ac8776f7f7430209 completed April 29, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c5db988a481909540e9b9c6db6d2c completed May 19, 2026, 12:55 p.m.
NEDg Description generation batch_6a0c5f14fddc8190b4d2f0acd0cfc858 completed May 19, 2026, 1:01 p.m.
NED2 Entity disambiguation (via description) batch_6a0c5fa5acc4819093c1ef77eb12543d completed May 19, 2026, 1:03 p.m.
Created at: April 17, 2026, 4:11 p.m.