Triple

T16746686
Position Surface form Disambiguated ID Type / Status
Subject Volta Region E406973 entity
Predicate containsTown P847 FINISHED
Object Akatsi
Akatsi is a town in southeastern Ghana that serves as a local commercial and administrative center within the Volta Region.
 E1232374 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: Akatsi | Statement: [Volta Region, containsTown, Akatsi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Akatsi
Context triple: [Volta Region, containsTown, Akatsi]
  • A. Tagakaolo
    Tagakaolo is an indigenous ethnolinguistic group in the southern Philippines, primarily in parts of Davao and Sarangani, known for its distinct Austronesian language and cultural traditions.
  • B. Oranmiyan
    Oranmiyan is a legendary Yoruba prince and warrior-king regarded as a founding figure of both the Oyo Empire in present-day Nigeria and the Benin Kingdom.
  • C. Ngola
    Ngola is an alternative name for the Angolar people, a community of African descent primarily associated with São Tomé and Príncipe.
  • D. Ngola
    Ngola was the royal title used by the rulers of the historical Kingdom of Ndongo in what is now Angola.
  • E. Ojota
    Ojota is a busy Lagos suburb and transport hub known for its major bus terminal and strategic location along key routes in the city.
  • 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: Akatsi
Triple: [Volta Region, containsTown, Akatsi]
Generated description
Akatsi is a town in southeastern Ghana that serves as a local commercial and administrative center within the Volta Region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Akatsi
Target entity description: Akatsi is a town in southeastern Ghana that serves as a local commercial and administrative center within the Volta Region.
  • A. Tagakaolo
    Tagakaolo is an indigenous ethnolinguistic group in the southern Philippines, primarily in parts of Davao and Sarangani, known for its distinct Austronesian language and cultural traditions.
  • B. Oranmiyan
    Oranmiyan is a legendary Yoruba prince and warrior-king regarded as a founding figure of both the Oyo Empire in present-day Nigeria and the Benin Kingdom.
  • C. Ngola
    Ngola was the royal title used by the rulers of the historical Kingdom of Ndongo in what is now Angola.
  • D. Ngola
    Ngola is an alternative name for the Angolar people, a community of African descent primarily associated with São Tomé and Príncipe.
  • E. Ojota
    Ojota is a busy Lagos suburb and transport hub known for its major bus terminal and strategic location along key routes in the city.
  • 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.