Triple

T11241136
Position Surface form Disambiguated ID Type / Status
Subject Alfonso López Pumarejo E266075 entity
Predicate familyName P18 FINISHED
Object Pumarejo
Pumarejo is a Spanish-language surname notably associated with Colombian political figure Alfonso López Pumarejo.
 E913983 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: Pumarejo | Statement: [Alfonso López Pumarejo, familyName, Pumarejo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pumarejo
Context triple: [Alfonso López Pumarejo, familyName, Pumarejo]
  • A. Chacahua
    Chacahua is a coastal community in Oaxaca, Mexico, known for its beaches, lagoons, and biodiversity within the Lagunas de Chacahua National Park.
  • B. Zamboanguita
    Zamboanguita is a coastal municipality in the Philippine province of Negros Oriental known for its diving spots and proximity to Apo Island.
  • C. Puntallana
    Puntallana is a small coastal municipality and rural village on the northeastern side of the island of La Palma in Spain’s Canary Islands.
  • D. Tumebamba
    Tumebamba was a prominent Inca imperial city in the northern highlands, serving as a key administrative and ceremonial center in what is now southern Ecuador.
  • E. Guarequena
    Guarequena is an alternative name for the Warekena language, an indigenous Arawakan language spoken in parts of Brazil and Venezuela.
  • 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: Pumarejo
Triple: [Alfonso López Pumarejo, familyName, Pumarejo]
Generated description
Pumarejo is a Spanish-language surname notably associated with Colombian political figure Alfonso López Pumarejo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pumarejo
Target entity description: Pumarejo is a Spanish-language surname notably associated with Colombian political figure Alfonso López Pumarejo.
  • A. Chacahua
    Chacahua is a coastal community in Oaxaca, Mexico, known for its beaches, lagoons, and biodiversity within the Lagunas de Chacahua National Park.
  • B. Zamboanguita
    Zamboanguita is a coastal municipality in the Philippine province of Negros Oriental known for its diving spots and proximity to Apo Island.
  • C. Puntallana
    Puntallana is a small coastal municipality and rural village on the northeastern side of the island of La Palma in Spain’s Canary Islands.
  • D. Tumebamba
    Tumebamba was a prominent Inca imperial city in the northern highlands, serving as a key administrative and ceremonial center in what is now southern Ecuador.
  • E. Guarequena
    Guarequena is an alternative name for the Warekena language, an indigenous Arawakan language spoken in parts of Brazil and Venezuela.
  • 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e919eaf48190a1457851cfc56afb completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4cc69402c8190be8785f892a41c7b completed April 19, 2026, 12:36 p.m.
NEDg Description generation batch_69e4d9e87508819080932fac06fb754d completed April 19, 2026, 1:34 p.m.
NED2 Entity disambiguation (via description) batch_69e4dda28b0081909245b65faae3533b completed April 19, 2026, 1:50 p.m.
Created at: April 8, 2026, 9:30 p.m.