Triple

T16710305
Position Surface form Disambiguated ID Type / Status
Subject Chapinero E406089 entity
Predicate hasPart P35 FINISHED
Object Sucre
Sucre is a neighborhood or locality within the Chapinero district of Bogotá, Colombia, known primarily as a residential and commercial urban area.
 E1229781 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: Sucre | Statement: [Chapinero, hasPart, Sucre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sucre
Context triple: [Chapinero, hasPart, Sucre]
  • A. Sucre
    Sucre is a coastal state in northeastern Venezuela known for its Caribbean shoreline, fishing communities, and colonial-era towns.
  • B. Sucre
    Sucre is the constitutional capital of Bolivia, known for its well-preserved colonial architecture and historical significance in the country’s independence.
  • C. La Paz
    La Paz is the administrative capital and one of the major cities of Bolivia, known for its dramatic setting in a deep valley of the Andes at one of the highest elevations of any capital city in the world.
  • D. La Paz
    La Paz is the capital city of Baja California Sur in Mexico, known for its coastal location on the Gulf of California, marine biodiversity, and laid-back seaside atmosphere.
  • E. La Paz
    La Paz is a municipality in the State of Mexico that forms part of the greater Mexico City metropolitan area.
  • 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: Sucre
Triple: [Chapinero, hasPart, Sucre]
Generated description
Sucre is a neighborhood or locality within the Chapinero district of Bogotá, Colombia, known primarily as a residential and commercial urban area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sucre
Target entity description: Sucre is a neighborhood or locality within the Chapinero district of Bogotá, Colombia, known primarily as a residential and commercial urban area.
  • A. Sucre
    Sucre is the constitutional capital of Bolivia, known for its well-preserved colonial architecture and historical significance in the country’s independence.
  • B. Sucre
    Sucre is a coastal state in northeastern Venezuela known for its Caribbean shoreline, fishing communities, and colonial-era towns.
  • C. La Paz
    La Paz is the administrative capital and one of the major cities of Bolivia, known for its dramatic setting in a deep valley of the Andes at one of the highest elevations of any capital city in the world.
  • D. La Paz
    La Paz is the capital city of Baja California Sur in Mexico, known for its coastal location on the Gulf of California, marine biodiversity, and laid-back seaside atmosphere.
  • E. La Paz
    La Paz is a municipality in the State of Mexico that forms part of the greater Mexico City metropolitan area.
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3865186b48190bb45a761f5cf1a83 completed April 18, 2026, 1:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0091a739308190b4d645e096d1710b completed May 10, 2026, 2:09 p.m.
NEDg Description generation batch_6a00935ad86881908c45cdb513313a1d completed May 10, 2026, 2:16 p.m.
NED2 Entity disambiguation (via description) batch_6a009a0bd7f8819090fb16d88108b96d completed May 10, 2026, 2:45 p.m.
Created at: April 10, 2026, 5:20 a.m.