Triple

T6756235
Position Surface form Disambiguated ID Type / Status
Subject Casamance E154465 entity
Predicate hasCity P316 FINISHED
Object Sédhiou
Sédhiou is a town in southern Senegal that serves as an important regional center in the Casamance area.
 E619278 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: Sédhiou | Statement: [Casamance, hasCity, Sédhiou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sédhiou
Context triple: [Casamance, hasCity, Sédhiou]
  • A. Guéckédou
    Guéckédou is a town in southern Guinea known as a regional trading center near the borders with Sierra Leone and Liberia.
  • B. Sikasso
    Sikasso is a major city in southern Mali known as an important agricultural and commercial center near the borders with Burkina Faso and Côte d'Ivoire.
  • C. Ziguinchor
    Ziguinchor is a major city in southern Senegal, serving as the regional capital of Casamance and an important cultural and economic hub.
  • D. Kousséri
    Kousséri is a town in northern Cameroon located on the Logone River, serving as a key border crossing and commercial link with N'Djamena, the capital of Chad.
  • E. Ségou
    Ségou is a historic city in central Mali known for its role as a former Bambara kingdom capital, its Niger River location, and its rich cultural and artistic heritage.
  • 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: Sédhiou
Triple: [Casamance, hasCity, Sédhiou]
Generated description
Sédhiou is a town in southern Senegal that serves as an important regional center in the Casamance area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sédhiou
Target entity description: Sédhiou is a town in southern Senegal that serves as an important regional center in the Casamance area.
  • A. Guéckédou
    Guéckédou is a town in southern Guinea known as a regional trading center near the borders with Sierra Leone and Liberia.
  • B. Sikasso
    Sikasso is a major city in southern Mali known as an important agricultural and commercial center near the borders with Burkina Faso and Côte d'Ivoire.
  • C. Ziguinchor
    Ziguinchor is a major city in southern Senegal, serving as the regional capital of Casamance and an important cultural and economic hub.
  • D. Kousséri
    Kousséri is a town in northern Cameroon located on the Logone River, serving as a key border crossing and commercial link with N'Djamena, the capital of Chad.
  • E. Ségou
    Ségou is a historic city in central Mali known for its role as a former Bambara kingdom capital, its Niger River location, and its rich cultural and artistic heritage.
  • 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_69c6880fd5808190be684854081e27dd completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d1f5ab0881908619b835b9f068d4 completed March 27, 2026, 6:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71a78feb8819084314c2ae043d289 completed March 28, 2026, 12:02 a.m.
NEDg Description generation batch_69c71b6b87d8819085e6ae122f042626 completed March 28, 2026, 12:06 a.m.
NED2 Entity disambiguation (via description) batch_69c71c00f86c819099ef6ae0766e9f3a completed March 28, 2026, 12:08 a.m.
Created at: March 27, 2026, 2:11 p.m.