Triple

T6579638
Position Surface form Disambiguated ID Type / Status
Subject University of Ghana E157258 entity
Predicate locatedIn P40 FINISHED
Object Legon
Legon is a suburban area in Accra, Ghana, best known as the main campus location of the University of Ghana.
E599449 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: Legon | Statement: [University of Ghana, locatedIn, Legon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Legon
Context triple: [University of Ghana, locatedIn, Legon]
  • A. Nkroful
    Nkroful is a village in Ghana best known as the birthplace of the country's first president and independence leader, Kwame Nkrumah.
  • B. 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.
  • C. Agona
    Agona is one of the major matrilineal clans of the Akan people of Ghana, traditionally associated with leadership and governance.
  • D. Cape Coast
    Cape Coast is a historic coastal city in southern Ghana known for its role in the trans-Atlantic slave trade and its well-preserved colonial-era castle.
  • E. Obuasi
    Obuasi is a major Ghanaian mining town renowned for its large gold deposits and historic gold mine.
  • 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: Legon
Triple: [University of Ghana, locatedIn, Legon]
Generated description
Legon is a suburban area in Accra, Ghana, best known as the main campus location of the University of Ghana.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Legon
Target entity description: Legon is a suburban area in Accra, Ghana, best known as the main campus location of the University of Ghana.
  • A. Nkroful
    Nkroful is a village in Ghana best known as the birthplace of the country's first president and independence leader, Kwame Nkrumah.
  • B. 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.
  • C. Agona
    Agona is one of the major matrilineal clans of the Akan people of Ghana, traditionally associated with leadership and governance.
  • D. Cape Coast
    Cape Coast is a historic coastal city in southern Ghana known for its role in the trans-Atlantic slave trade and its well-preserved colonial-era castle.
  • E. Obuasi
    Obuasi is a major Ghanaian mining town renowned for its large gold deposits and historic gold mine.
  • 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_69c6882b3a108190b3a9eb343ae4162c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae8ef4d08190b4c88aa0c15fe91c completed March 27, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cba5cc708190a8748160a7878b8f completed March 27, 2026, 6:25 p.m.
NEDg Description generation batch_69c6cd08a9c88190a481d4d3f8e680bf completed March 27, 2026, 6:31 p.m.
NED2 Entity disambiguation (via description) batch_69c6cdc859cc8190bbae2efc39409021 completed March 27, 2026, 6:34 p.m.
Created at: March 27, 2026, 1:54 p.m.