Triple

T7879675
Position Surface form Disambiguated ID Type / Status
Subject Tema (Ga) E182944 entity
Predicate ethnicRelation P1969 FINISHED
Object Osu (Ga)
Osu (Ga) is a Ga ethnic subgroup in Ghana, known for its historic coastal settlement in Accra and its distinct cultural and traditional practices.
 E701169 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: Osu (Ga) | Statement: [Tema (Ga), ethnicRelation, Osu (Ga)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Osu (Ga)
Context triple: [Tema (Ga), ethnicRelation, Osu (Ga)]
  • A. Odum, Georgia
    Odum, Georgia is a small town in southeastern Georgia, United States, located in Wayne County.
  • B. Ochlocknee, Georgia
    Ochlocknee, Georgia is a small rural town in southern Georgia known for its agricultural community and annual Old South Day festival.
  • C. Ola, Georgia
    Ola, Georgia is a small unincorporated rural community located in Henry County in the U.S. state of Georgia.
  • D. Upatoi, Georgia
    Upatoi, Georgia is an unincorporated community in Muscogee County that forms part of the Columbus metropolitan area in west-central Georgia.
  • E. Valdosta, Georgia
    Valdosta, Georgia is a small city in southern Georgia known as a regional hub for education, retail, and sports, particularly high school football.
  • 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: Osu (Ga)
Triple: [Tema (Ga), ethnicRelation, Osu (Ga)]
Generated description
Osu (Ga) is a Ga ethnic subgroup in Ghana, known for its historic coastal settlement in Accra and its distinct cultural and traditional practices.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Osu (Ga)
Target entity description: Osu (Ga) is a Ga ethnic subgroup in Ghana, known for its historic coastal settlement in Accra and its distinct cultural and traditional practices.
  • A. Odum, Georgia
    Odum, Georgia is a small town in southeastern Georgia, United States, located in Wayne County.
  • B. Ochlocknee, Georgia
    Ochlocknee, Georgia is a small rural town in southern Georgia known for its agricultural community and annual Old South Day festival.
  • C. Ola, Georgia
    Ola, Georgia is a small unincorporated rural community located in Henry County in the U.S. state of Georgia.
  • D. Upatoi, Georgia
    Upatoi, Georgia is an unincorporated community in Muscogee County that forms part of the Columbus metropolitan area in west-central Georgia.
  • E. Valdosta, Georgia
    Valdosta, Georgia is a small city in southern Georgia known as a regional hub for education, retail, and sports, particularly high school football.
  • 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_69ca828a17248190b46defe758bc5ad3 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb39be7ab88190affcd353a0cd37fa completed March 31, 2026, 3:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b86c20081909aa029cda7c48d44 completed March 31, 2026, 5:28 a.m.
NEDg Description generation batch_69cb7631d10881908e3c7dacb98520cd completed March 31, 2026, 7:22 a.m.
NED2 Entity disambiguation (via description) batch_69cbbf847f3c819092d690d8d65f6d60 completed March 31, 2026, 12:35 p.m.
Created at: March 30, 2026, 4:57 p.m.