Triple

T17100989
Position Surface form Disambiguated ID Type / Status
Subject Mayor of Lima E414978 entity
Predicate positionHeldBy P8 FINISHED
Object Luis Tovar
Luis Tovar is a Peruvian politician who has served as the mayor of Lima, the capital and largest city of Peru.
E1362093 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: Luis Tovar | Statement: [Mayor of Lima, positionHeldBy, Luis Tovar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luis Tovar
Context triple: [Mayor of Lima, positionHeldBy, Luis Tovar]
  • A. Jorge Bustamante
    Jorge Bustamante is a prominent Mexican sociologist and human rights advocate known for his pioneering work on migration and border issues between Mexico and the United States.
  • B. Jorge Portillo
    Jorge Portillo is an individual notable enough to be recognized as a prominent bearer of the surname Portillo.
  • C. Guillermo Pulido
    Guillermo Pulido is a notable individual whose surname, Pulido, is recognized as being borne by him.
  • D. José Miguel Vivanco
    José Miguel Vivanco is a Chilean human rights lawyer and activist best known for his long-time leadership role at Human Rights Watch, where he focused on Latin American human rights issues.
  • E. Martín Vásquez
    Martín Vásquez is a former professional soccer midfielder and coach who played in Major League Soccer and later served on coaching staffs for clubs and the U.S. national team.
  • 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: Luis Tovar
Triple: [Mayor of Lima, positionHeldBy, Luis Tovar]
Generated description
Luis Tovar is a Peruvian politician who has served as the mayor of Lima, the capital and largest city of Peru.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Luis Tovar
Target entity description: Luis Tovar is a Peruvian politician who has served as the mayor of Lima, the capital and largest city of Peru.
  • A. Jorge Bustamante
    Jorge Bustamante is a prominent Mexican sociologist and human rights advocate known for his pioneering work on migration and border issues between Mexico and the United States.
  • B. Jorge Portillo
    Jorge Portillo is an individual notable enough to be recognized as a prominent bearer of the surname Portillo.
  • C. Guillermo Pulido
    Guillermo Pulido is a notable individual whose surname, Pulido, is recognized as being borne by him.
  • D. José Miguel Vivanco
    José Miguel Vivanco is a Chilean human rights lawyer and activist best known for his long-time leadership role at Human Rights Watch, where he focused on Latin American human rights issues.
  • E. Martín Vásquez
    Martín Vásquez is a former professional soccer midfielder and coach who played in Major League Soccer and later served on coaching staffs for clubs and the U.S. national team.
  • 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dc0182cc8190b8aa9c980f11ba57 completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a06f89123f0819086f3aeef4c309f63 completed May 15, 2026, 10:42 a.m.
NEDg Description generation batch_6a06f9666b2081908c02f7e0d63345d1 completed May 15, 2026, 10:45 a.m.
NED2 Entity disambiguation (via description) batch_6a06f9efad4c81908415dc4b56a38ddc completed May 15, 2026, 10:48 a.m.
Created at: April 10, 2026, 5:35 a.m.