Triple

T2429602
Position Surface form Disambiguated ID Type / Status
Subject Alberto Lleras Camargo E52810 entity
Predicate familyName P18 FINISHED
Object Lleras
Lleras is a Spanish-language surname notably associated with prominent Colombian political figures such as former president Alberto Lleras Camargo.
 E264848 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: Lleras | Statement: [Alberto Lleras Camargo, familyName, Lleras]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lleras
Context triple: [Alberto Lleras Camargo, familyName, Lleras]
  • A. Mosquera
    Mosquera is a municipality in the department of Cundinamarca, Colombia, located near Bogotá and known for its growing industrial and residential development.
  • B. Echeverría
    Echeverría is a Spanish-language surname borne by various notable figures in politics, literature, and the arts across the Spanish-speaking world.
  • C. Rojas
    Rojas is a Spanish surname historically associated with prominent noble families and political figures in Spain.
  • D. Ibarra
    Ibarra is a city in northern Ecuador, known as the capital of Imbabura Province and for its colonial architecture and Andean setting.
  • E. Espinal
    Espinal is a significant urban center in central Colombia known for its agricultural economy and cultural traditions within the Tolima Department.
  • 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: Lleras
Triple: [Alberto Lleras Camargo, familyName, Lleras]
Generated description
Lleras is a Spanish-language surname notably associated with prominent Colombian political figures such as former president Alberto Lleras Camargo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lleras
Target entity description: Lleras is a Spanish-language surname notably associated with prominent Colombian political figures such as former president Alberto Lleras Camargo.
  • A. Mosquera
    Mosquera is a municipality in the department of Cundinamarca, Colombia, located near Bogotá and known for its growing industrial and residential development.
  • B. Echeverría
    Echeverría is a Spanish-language surname borne by various notable figures in politics, literature, and the arts across the Spanish-speaking world.
  • C. Rojas
    Rojas is a Spanish surname historically associated with prominent noble families and political figures in Spain.
  • D. Ibarra
    Ibarra is a city in northern Ecuador, known as the capital of Imbabura Province and for its colonial architecture and Andean setting.
  • E. Espinal
    Espinal is a significant urban center in central Colombia known for its agricultural economy and cultural traditions within the Tolima Department.
  • 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_69ab4959bcc0819083246f9fb10439e3 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc99fcd048190a85b95a9a8ae6d4d completed March 7, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf6634a48190af82eab6b9750323 completed March 9, 2026, 12:39 p.m.
NEDg Description generation batch_69aec2a3f4708190a6c51f28833174e3 completed March 9, 2026, 12:52 p.m.
NED2 Entity disambiguation (via description) batch_69aec3626a7081908f1ccef98e9b96be completed March 9, 2026, 12:56 p.m.
Created at: March 6, 2026, 9:43 p.m.