Triple

T20370617
Position Surface form Disambiguated ID Type / Status
Subject Khorezm Region E497040 entity
Predicate containsTown P847 FINISHED
Object Bogot
Bogot is a small town located in the Khorezm Region of northwestern Uzbekistan.
 E1427161 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: Bogot | Statement: [Khorezm Region, containsTown, Bogot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bogot
Context triple: [Khorezm Region, containsTown, Bogot]
  • A. Bogotá
    Bogotá is the high-altitude capital and largest city of Colombia, known as a major political, economic, and cultural center in South America.
  • B. Bucaramanga
    Bucaramanga is a major city in northeastern Colombia known for its mountainous setting, pleasant climate, and role as an important commercial and industrial center.
  • C. Medellín
    Medellín is Colombia’s second-largest city, known for its mountainous setting, innovative urban development, and vibrant cultural life.
  • D. Medellín
    Medellín is a historic town in the Extremadura region of western Spain, known as the birthplace of conquistador Hernán Cortés and for its well-preserved medieval castle overlooking the Guadiana River.
  • E. Pereira
    Pereira is a major Colombian city known as the capital of the Risaralda department and an important economic and cultural center in the country's coffee-growing region.
  • 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: Bogot
Triple: [Khorezm Region, containsTown, Bogot]
Generated description
Bogot is a small town located in the Khorezm Region of northwestern Uzbekistan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bogot
Target entity description: Bogot is a small town located in the Khorezm Region of northwestern Uzbekistan.
  • A. Bogotá
    Bogotá is the high-altitude capital and largest city of Colombia, known as a major political, economic, and cultural center in South America.
  • B. Bucaramanga
    Bucaramanga is a major city in northeastern Colombia known for its mountainous setting, pleasant climate, and role as an important commercial and industrial center.
  • C. Medellín
    Medellín is Colombia’s second-largest city, known for its mountainous setting, innovative urban development, and vibrant cultural life.
  • D. Medellín
    Medellín is a historic town in the Extremadura region of western Spain, known as the birthplace of conquistador Hernán Cortés and for its well-preserved medieval castle overlooking the Guadiana River.
  • E. Pereira
    Pereira is a major Colombian city known as the capital of the Risaralda department and an important economic and cultural center in the country's coffee-growing region.
  • 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_69e0b4a4f9b081908a5a021919c21ccb completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e678758b98819082c6440e03ad1615 completed April 20, 2026, 7:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08708f2b00819084806af8cf9c9e10 completed May 16, 2026, 1:26 p.m.
NEDg Description generation batch_6a08717357a881908ba83d104fc3f228 completed May 16, 2026, 1:30 p.m.
NED2 Entity disambiguation (via description) batch_6a087267236c81908c91359f270fb17e completed May 16, 2026, 1:34 p.m.
Created at: April 16, 2026, 11:26 a.m.