Triple

T6364463
Position Surface form Disambiguated ID Type / Status
Subject Upper East Region E143190 entity
Predicate hasSettlement P1068 FINISHED
Object Navrongo
Navrongo is a town in northern Ghana known as a key administrative and commercial center near the border with Burkina Faso.
 E588471 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: Navrongo | Statement: [Upper East Region, hasSettlement, Navrongo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Navrongo
Context triple: [Upper East Region, hasSettlement, Navrongo]
  • A. Conakry
    Conakry is the capital and largest city of Guinea, serving as its main economic, cultural, and administrative center on the Atlantic coast of West Africa.
  • B. Bamako
    Bamako is the capital and largest city of Mali, serving as a major political, economic, and cultural center in West Africa.
  • C. Daloa
    Daloa is a major inland city in western Côte d'Ivoire known as an important commercial and agricultural center, particularly for cocoa production.
  • D. Ouidah
    Ouidah is a coastal city in Benin historically known as a major center of the transatlantic slave trade and for its rich Vodun (Voodoo) cultural heritage.
  • E. Guéckédou
    Guéckédou is a town in southern Guinea known as a regional trading center near the borders with Sierra Leone and Liberia.
  • 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: Navrongo
Triple: [Upper East Region, hasSettlement, Navrongo]
Generated description
Navrongo is a town in northern Ghana known as a key administrative and commercial center near the border with Burkina Faso.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Navrongo
Target entity description: Navrongo is a town in northern Ghana known as a key administrative and commercial center near the border with Burkina Faso.
  • A. Conakry
    Conakry is the capital and largest city of Guinea, serving as its main economic, cultural, and administrative center on the Atlantic coast of West Africa.
  • B. Bamako
    Bamako is the capital and largest city of Mali, serving as a major political, economic, and cultural center in West Africa.
  • C. Daloa
    Daloa is a major inland city in western Côte d'Ivoire known as an important commercial and agricultural center, particularly for cocoa production.
  • D. Ouidah
    Ouidah is a coastal city in Benin historically known as a major center of the transatlantic slave trade and for its rich Vodun (Voodoo) cultural heritage.
  • E. Guéckédou
    Guéckédou is a town in southern Guinea known as a regional trading center near the borders with Sierra Leone and Liberia.
  • 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_69c008d8c61081908bcaf61510d881ed completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0680ed0148190b6e310b15b3449ff completed March 22, 2026, 10:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d7a1cbc8190a27a0a8e8b466ad5 completed March 27, 2026, 7:10 a.m.
NEDg Description generation batch_69c62ebcd35481909acd54a5b41f99aa completed March 27, 2026, 7:16 a.m.
NED2 Entity disambiguation (via description) batch_69c62f5024148190915c9495a9e204b1 completed March 27, 2026, 7:18 a.m.
Created at: March 22, 2026, 4:32 p.m.