Triple

T8308800
Position Surface form Disambiguated ID Type / Status
Subject Putumayo Department E194534 entity
Predicate containsMunicipality P852 FINISHED
Object Leguízamo
Leguízamo is a municipality located in Colombia’s southern Amazonian region within the Putumayo Department, known for its biodiversity and riverine landscapes.
E727013 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: Leguízamo | Statement: [Putumayo Department, containsMunicipality, Leguízamo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leguízamo
Context triple: [Putumayo Department, containsMunicipality, Leguízamo]
  • A. Peláez
    Peláez is a Spanish surname of likely Galician or Asturian origin, borne by various historical and contemporary figures.
  • B. Garzón
    Garzón is a municipality and town in south-central Colombia known as an agricultural center within the Huila Department.
  • C. Albizu Campos
    Albizu Campos is the surname of Pedro Albizu Campos, a prominent Puerto Rican nationalist leader and advocate for the island’s independence in the mid-20th century.
  • D. José Miguel
    José Miguel is a Spanish-language masculine given name commonly used across various Hispanic cultures.
  • E. Pérez de Guzmán
    Pérez de Guzmán is a prominent Spanish noble family name historically associated with the powerful Dukes of Medina Sidonia.
  • 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: Leguízamo
Triple: [Putumayo Department, containsMunicipality, Leguízamo]
Generated description
Leguízamo is a municipality located in Colombia’s southern Amazonian region within the Putumayo Department, known for its biodiversity and riverine landscapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Leguízamo
Target entity description: Leguízamo is a municipality located in Colombia’s southern Amazonian region within the Putumayo Department, known for its biodiversity and riverine landscapes.
  • A. Peláez
    Peláez is a Spanish surname of likely Galician or Asturian origin, borne by various historical and contemporary figures.
  • B. Garzón
    Garzón is a municipality and town in south-central Colombia known as an agricultural center within the Huila Department.
  • C. Albizu Campos
    Albizu Campos is the surname of Pedro Albizu Campos, a prominent Puerto Rican nationalist leader and advocate for the island’s independence in the mid-20th century.
  • D. José Miguel
    José Miguel is a Spanish-language masculine given name commonly used across various Hispanic cultures.
  • E. Pérez de Guzmán
    Pérez de Guzmán is a prominent Spanish noble family name historically associated with the powerful Dukes of Medina Sidonia.
  • 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_69ca82e613e88190bf8139669bbd0d53 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f2c06608190bd21633af07a530b completed March 31, 2026, 8 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd955bd69081909d669139c576efb8 completed April 1, 2026, 9:59 p.m.
NEDg Description generation batch_69cdb20cc18081908269516e49ce0fd3 completed April 2, 2026, 12:02 a.m.
NED2 Entity disambiguation (via description) batch_69cdb44ff9a88190bbcb4a56f9b44dc1 completed April 2, 2026, 12:12 a.m.
Created at: March 30, 2026, 5:54 p.m.