Triple

T11303301
Position Surface form Disambiguated ID Type / Status
Subject Amedzofe dialect E267650 entity
Predicate spokenIn P2266 FINISHED
Object Amedzofe
Amedzofe is a town in the Volta Region of Ghana, known for its mountainous landscape, cool climate, and cultural significance among the Ewe-speaking communities.
 E921036 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: Amedzofe | Statement: [Amedzofe dialect, spokenIn, Amedzofe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Amedzofe
Context triple: [Amedzofe dialect, spokenIn, Amedzofe]
  • A. Ngola
    Ngola is an alternative name for the Angolar people, a community of African descent primarily associated with São Tomé and Príncipe.
  • B. N’Guigmi
    N’Guigmi is a town and commune in southeastern Niger, located near Lake Chad and serving as an important local center for trade and transport.
  • C. Makouda
    Makouda is a town and commune located in northern Algeria within the Kabylie region.
  • D. Ndiass
    Ndiass is a village in western Senegal that serves as the host community for Blaise Diagne International Airport, one of the country’s main air transport hubs.
  • E. Buema
    Buema is a locality situated within the Kufra region of southeastern Libya, an area known for its desert landscapes and oasis settlements.
  • 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: Amedzofe
Triple: [Amedzofe dialect, spokenIn, Amedzofe]
Generated description
Amedzofe is a town in the Volta Region of Ghana, known for its mountainous landscape, cool climate, and cultural significance among the Ewe-speaking communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Amedzofe
Target entity description: Amedzofe is a town in the Volta Region of Ghana, known for its mountainous landscape, cool climate, and cultural significance among the Ewe-speaking communities.
  • A. Ngola
    Ngola is an alternative name for the Angolar people, a community of African descent primarily associated with São Tomé and Príncipe.
  • B. N’Guigmi
    N’Guigmi is a town and commune in southeastern Niger, located near Lake Chad and serving as an important local center for trade and transport.
  • C. Makouda
    Makouda is a town and commune located in northern Algeria within the Kabylie region.
  • D. Ndiass
    Ndiass is a village in western Senegal that serves as the host community for Blaise Diagne International Airport, one of the country’s main air transport hubs.
  • E. Buema
    Buema is a locality situated within the Kufra region of southeastern Libya, an area known for its desert landscapes and oasis settlements.
  • 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_69d6aac993a08190a6f36445ebaf9a43 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9a5c3788190ba54eda514b97903 completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69e55639a5ec8190b979d5a280397f98 completed April 19, 2026, 10:24 p.m.
NEDg Description generation batch_69e558cc2a1c819087c584310eb255d5 completed April 19, 2026, 10:35 p.m.
NED2 Entity disambiguation (via description) batch_69e562d9a1408190a4e68f28f48c75c7 completed April 19, 2026, 11:18 p.m.
Created at: April 8, 2026, 9:32 p.m.