Triple

T16746648
Position Surface form Disambiguated ID Type / Status
Subject Ho E406972 entity
Predicate hasRoadConnectionTo P11435 FINISHED
Object Kpando
Kpando is a town in Ghana’s Volta Region, known as a local commercial center near the Volta Lake.
E1232368 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: Kpando | Statement: [Ho, hasRoadConnectionTo, Kpando]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kpando
Context triple: [Ho, hasRoadConnectionTo, Kpando]
  • A. Mampong
    Mampong is a prominent town and municipal center in Ghana known for its historical significance within the Ashanti cultural area and its role as an educational and agricultural hub.
  • B. 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.
  • C. Serekunda
    Serekunda is the most populous urban center and a major commercial hub in The Gambia.
  • D. Nkroful
    Nkroful is a village in Ghana best known as the birthplace of the country's first president and independence leader, Kwame Nkrumah.
  • E. Koforidua
    Koforidua is a major city in southern Ghana known as an administrative, commercial, and transportation hub for the Eastern Region.
  • 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: Kpando
Triple: [Ho, hasRoadConnectionTo, Kpando]
Generated description
Kpando is a town in Ghana’s Volta Region, known as a local commercial center near the Volta Lake.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kpando
Target entity description: Kpando is a town in Ghana’s Volta Region, known as a local commercial center near the Volta Lake.
  • A. Mampong
    Mampong is a prominent town and municipal center in Ghana known for its historical significance within the Ashanti cultural area and its role as an educational and agricultural hub.
  • B. 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.
  • C. Serekunda
    Serekunda is the most populous urban center and a major commercial hub in The Gambia.
  • D. Nkroful
    Nkroful is a village in Ghana best known as the birthplace of the country's first president and independence leader, Kwame Nkrumah.
  • E. Koforidua
    Koforidua is a major city in southern Ghana known as an administrative, commercial, and transportation hub for the Eastern Region.
  • 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_69d8838ffb088190a0b11149929006bf completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3aa2311748190a17416de577ad159 completed April 18, 2026, 3:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a52033748190ae207d72d437236b completed May 10, 2026, 3:32 p.m.
NEDg Description generation batch_6a00a685753881908c3fef10823ce569 completed May 10, 2026, 3:38 p.m.
NED2 Entity disambiguation (via description) batch_6a00a7174f5c8190891ddd180c50aee3 completed May 10, 2026, 3:41 p.m.
Created at: April 10, 2026, 5:21 a.m.