Triple

T14195294
Position Surface form Disambiguated ID Type / Status
Subject Western Area E351819 entity
Predicate hasRoadConnection P385 FINISHED
Object Kenema E581905 NE FINISHED

How this triple was built (2 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: [Western Area, hasRoadConnection, Kenema]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kenema
Context triple: [Western Area, hasRoadConnection, Kenema]
  • 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. Bolgatanga
    Bolgatanga is a town in northern Ghana known as a commercial and cultural hub, particularly famous for its traditional crafts and vibrant market.
  • C. Serekunda
    Serekunda is the most populous urban center and a major commercial hub in The Gambia.
  • D. Koforidua
    Koforidua is a major city in southern Ghana known as an administrative, commercial, and transportation hub for the Eastern Region.
  • E. Kumasi
    Kumasi is a major city in southern Ghana, known as the historic capital of the Ashanti Kingdom and a key cultural and commercial center in West Africa.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61e1fbd48190a4864fa4443f8f29 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd194b32d88190aa74eef576152db3 completed May 7, 2026, 10:59 p.m.
Created at: April 10, 2026, 1:04 a.m.