Triple

T9248493
Position Surface form Disambiguated ID Type / Status
Subject Upper Guinea E222257 entity
Predicate containsCity P294 FINISHED
Object Siguiri
Siguiri is a town in northeastern Guinea known as a center of gold mining along the Niger River.
E786519 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: Siguiri | Statement: [Upper Guinea, containsCity, Siguiri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Siguiri
Context triple: [Upper Guinea, containsCity, Siguiri]
  • A. Sinda
    Sinda is a town in eastern Zambia situated along the Great East Road, serving as a local commercial and transit hub for the surrounding rural area.
  • B. Hoanya
    Hoanya is the self-designated name of an indigenous Taiwanese group historically associated with the now-extinct Hoanya language.
  • C. Elviro
    Elviro is a comic servant character from George Frideric Handel’s opera "Serse," known for his humorous disguises and light-hearted scenes.
  • D. Sindo
    Sindo is an island and administrative division of Ongjin County in Incheon, South Korea, known for its rural landscape and coastal environment.
  • E. Guisa
    Guisa is a municipality and town located in Cuba’s eastern Granma Province, known for its rural character and historical significance in the Cuban Revolution.
  • 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: Siguiri
Triple: [Upper Guinea, containsCity, Siguiri]
Generated description
Siguiri is a town in northeastern Guinea known as a center of gold mining along the Niger River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Siguiri
Target entity description: Siguiri is a town in northeastern Guinea known as a center of gold mining along the Niger River.
  • A. Sinda
    Sinda is a town in eastern Zambia situated along the Great East Road, serving as a local commercial and transit hub for the surrounding rural area.
  • B. Hoanya
    Hoanya is the self-designated name of an indigenous Taiwanese group historically associated with the now-extinct Hoanya language.
  • C. Elviro
    Elviro is a comic servant character from George Frideric Handel’s opera "Serse," known for his humorous disguises and light-hearted scenes.
  • D. Sindo
    Sindo is an island and administrative division of Ongjin County in Incheon, South Korea, known for its rural landscape and coastal environment.
  • E. Guisa
    Guisa is a municipality and town located in Cuba’s eastern Granma Province, known for its rural character and historical significance in the Cuban Revolution.
  • 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_69ca841d2b18819089f9faf5b2c2aec0 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd05f6d62c8190a1e33f1854767b47 completed April 1, 2026, 11:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d077fed7888190a5d36bc2ee4c2bd2 completed April 4, 2026, 2:31 a.m.
NEDg Description generation batch_69d0787b68ac819094acdec0ad7462ac completed April 4, 2026, 2:33 a.m.
NED2 Entity disambiguation (via description) batch_69d07900c7588190869c26dc76fe97e7 completed April 4, 2026, 2:35 a.m.
Created at: March 30, 2026, 7:31 p.m.