Triple

T21418251
Position Surface form Disambiguated ID Type / Status
Subject Frafra E528361 entity
Predicate neighboringEthnicGroups P11274 FINISHED
Object Talensi
The Talensi are an ethnic group of northern Ghana known for their agrarian lifestyle, ancestral shrine practices, and distinctive earth-and-stone architecture.
 E1483799 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: Talensi | Statement: [Frafra, neighboringEthnicGroups, Talensi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Talensi
Context triple: [Frafra, neighboringEthnicGroups, Talensi]
  • A. Tishena
    Tishena is a dialect of the Meʼen language spoken by a subgroup of the Meʼen people in southwestern Ethiopia.
  • B. Turgi
    Turgi is a small Swiss municipality in the canton of Aargau, known for its residential character and proximity to the town of Baden.
  • C. Nembe
    Nembe is an Ijaw subgroup and town in Bayelsa State, Nigeria, known historically as a coastal trading center in the Niger Delta.
  • D. Nisswa
    Nisswa is a small resort city in central Minnesota known for its lakes, tourism, and outdoor recreation.
  • E. Tayshet
    Tayshet is a town in Irkutsk Oblast, Russia, known as a major railway junction in Siberia.
  • 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: Talensi
Triple: [Frafra, neighboringEthnicGroups, Talensi]
Generated description
The Talensi are an ethnic group of northern Ghana known for their agrarian lifestyle, ancestral shrine practices, and distinctive earth-and-stone architecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Talensi
Target entity description: The Talensi are an ethnic group of northern Ghana known for their agrarian lifestyle, ancestral shrine practices, and distinctive earth-and-stone architecture.
  • A. Tishena
    Tishena is a dialect of the Meʼen language spoken by a subgroup of the Meʼen people in southwestern Ethiopia.
  • B. Turgi
    Turgi is a small Swiss municipality in the canton of Aargau, known for its residential character and proximity to the town of Baden.
  • C. Nembe
    Nembe is an Ijaw subgroup and town in Bayelsa State, Nigeria, known historically as a coastal trading center in the Niger Delta.
  • D. Nisswa
    Nisswa is a small resort city in central Minnesota known for its lakes, tourism, and outdoor recreation.
  • E. Tayshet
    Tayshet is a town in Irkutsk Oblast, Russia, known as a major railway junction in Siberia.
  • 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_69e0c454c248819093425d1099101c09 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee62d29f948190b820c92014d1c53a completed April 26, 2026, 7:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a09c2a06c0c81909da8bb39a78df85e completed May 17, 2026, 1:29 p.m.
NEDg Description generation batch_6a09c33c37e88190b559bbf98e589487 completed May 17, 2026, 1:31 p.m.
NED2 Entity disambiguation (via description) batch_6a09c3c6a208819096b2e4a2c92b3cb0 completed May 17, 2026, 1:33 p.m.
Created at: April 16, 2026, 5:46 p.m.