Triple

T3843130
Position Surface form Disambiguated ID Type / Status
Subject Jubaland E93501 entity
Predicate hasMajorCity P316 FINISHED
Object Afmadow
Afmadow is a significant town in southern Somalia that serves as one of the main urban centers of the Jubaland region.
 E392414 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: Afmadow | Statement: [Jubaland, hasMajorCity, Afmadow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Afmadow
Context triple: [Jubaland, hasMajorCity, Afmadow]
  • A. Afif
    Afif is a town in central Saudi Arabia known as an inland community within the Riyadh administrative region.
  • B. Amed
    Amed is the historical name of the city now known as Diyarbakır, a major cultural and political center in southeastern Turkey, especially significant for Kurdish heritage.
  • C. Amarar
    Amarar is the native name used by the Beja people to refer to themselves or their community.
  • D. Afantou
    Afantou is a village and seaside resort on the island of Rhodes in Greece, known for its long beach and traditional character.
  • E. Dawadmi
    Dawadmi is a town in central Saudi Arabia known as an important administrative and commercial center within Riyadh Province.
  • 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: Afmadow
Triple: [Jubaland, hasMajorCity, Afmadow]
Generated description
Afmadow is a significant town in southern Somalia that serves as one of the main urban centers of the Jubaland region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Afmadow
Target entity description: Afmadow is a significant town in southern Somalia that serves as one of the main urban centers of the Jubaland region.
  • A. Afif
    Afif is a town in central Saudi Arabia known as an inland community within the Riyadh administrative region.
  • B. Amed
    Amed is the historical name of the city now known as Diyarbakır, a major cultural and political center in southeastern Turkey, especially significant for Kurdish heritage.
  • C. Amarar
    Amarar is the native name used by the Beja people to refer to themselves or their community.
  • D. Afantou
    Afantou is a village and seaside resort on the island of Rhodes in Greece, known for its long beach and traditional character.
  • E. Dawadmi
    Dawadmi is a town in central Saudi Arabia known as an important administrative and commercial center within Riyadh Province.
  • 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_69aed96ce578819084ab16e3439976c9 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeebb4fd308190a636ba9dbbe57ed6 completed March 9, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5040f93948190b104cf1b7db671b7 completed March 14, 2026, 6:45 a.m.
NEDg Description generation batch_69b504c46dcc8190a9775c39e5c734a9 completed March 14, 2026, 6:48 a.m.
NED2 Entity disambiguation (via description) batch_69b505742830819093a861bde17c03c0 completed March 14, 2026, 6:51 a.m.
Created at: March 9, 2026, 3:18 p.m.