Triple

T8851332
Position Surface form Disambiguated ID Type / Status
Subject Ga-Adangbe E210643 entity
Predicate settlementArea P82 FINISHED
Object Kpone
Kpone is a coastal town in the Greater Accra Region of Ghana, traditionally inhabited by the Ga-Adangbe people and known for its growing industrial and residential development.
 E763529 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: Kpone | Statement: [Ga-Adangbe, settlementArea, Kpone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kpone
Context triple: [Ga-Adangbe, settlementArea, Kpone]
  • A. Kaneshie
    Kaneshie is a bustling suburb of Accra, Ghana, known for its major transport hub and vibrant commercial activity.
  • B. Dangme
    Dangme is a Kwa language spoken primarily by the Dangme people in southeastern Ghana.
  • C. Kpeshie
    Kpeshie is a traditional festival celebrated in the coastal Ghanaian town of Teshie, known for its rich Ga cultural rituals and communal festivities.
  • D. Odukpani
    Odukpani is a local government area in southeastern Nigeria known for its diverse ethnic communities and proximity to the state capital, Calabar, in Cross River State.
  • E. Agona
    Agona is one of the major matrilineal clans of the Akan people of Ghana, traditionally associated with leadership and governance.
  • 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: Kpone
Triple: [Ga-Adangbe, settlementArea, Kpone]
Generated description
Kpone is a coastal town in the Greater Accra Region of Ghana, traditionally inhabited by the Ga-Adangbe people and known for its growing industrial and residential development.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kpone
Target entity description: Kpone is a coastal town in the Greater Accra Region of Ghana, traditionally inhabited by the Ga-Adangbe people and known for its growing industrial and residential development.
  • A. Kaneshie
    Kaneshie is a bustling suburb of Accra, Ghana, known for its major transport hub and vibrant commercial activity.
  • B. Dangme
    Dangme is a Kwa language spoken primarily by the Dangme people in southeastern Ghana.
  • C. Kpeshie
    Kpeshie is a traditional festival celebrated in the coastal Ghanaian town of Teshie, known for its rich Ga cultural rituals and communal festivities.
  • D. Odukpani
    Odukpani is a local government area in southeastern Nigeria known for its diverse ethnic communities and proximity to the state capital, Calabar, in Cross River State.
  • E. Agona
    Agona is one of the major matrilineal clans of the Akan people of Ghana, traditionally associated with leadership and governance.
  • 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_69ca838a424c8190b1ecac115c2927e7 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60c2300c819097b1ca6ebe2f749a completed April 1, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa08315fc8190b901adfc76348e18 completed April 3, 2026, 11:12 a.m.
NEDg Description generation batch_69cfa2a53044819099aa7bb401cd4ba6 completed April 3, 2026, 11:21 a.m.
NED2 Entity disambiguation (via description) batch_69cfa3a03b7c819085fa31d853c79392 completed April 3, 2026, 11:25 a.m.
Created at: March 30, 2026, 6:49 p.m.