Triple

T239277
Position Surface form Disambiguated ID Type / Status
Subject Cundinamarca E4891 entity
Predicate contains P35 FINISHED
Object Pacho
Pacho is a town and municipality in the Cundinamarca Department of central Colombia, known historically for its agricultural production and scenic Andean surroundings.
E33043 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: Pacho | Statement: [Cundinamarca, contains, Pacho]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pacho
Context triple: [Cundinamarca, contains, Pacho]
  • A. Cáqueza
    Cáqueza is a small municipality and town in the Andean region of central Colombia, known for its rural landscapes and proximity to Bogotá in the department of Cundinamarca.
  • B. Bauta
    Bauta is a municipality in western Cuba known for its proximity to Havana and its mix of rural communities and small urban centers.
  • C. Pepa
    Pepa is a traditional Assamese wind instrument, typically made from buffalo horn, used in folk and Bihu music.
  • D. Inca Taqui
    Inca Taqui is a 1953 studio album by Peruvian soprano Yma Sumac that showcases her extraordinary vocal range through music inspired by ancient Incan themes.
  • E. Diego
    Diego is a given name of Spanish origin commonly used in Spanish-speaking countries and beyond.
  • 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: Pacho
Triple: [Cundinamarca, contains, Pacho]
Generated description
Pacho is a town and municipality in the Cundinamarca Department of central Colombia, known historically for its agricultural production and scenic Andean surroundings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pacho
Target entity description: Pacho is a town and municipality in the Cundinamarca Department of central Colombia, known historically for its agricultural production and scenic Andean surroundings.
  • A. Cáqueza
    Cáqueza is a small municipality and town in the Andean region of central Colombia, known for its rural landscapes and proximity to Bogotá in the department of Cundinamarca.
  • B. Bauta
    Bauta is a municipality in western Cuba known for its proximity to Havana and its mix of rural communities and small urban centers.
  • C. Pepa
    Pepa is a traditional Assamese wind instrument, typically made from buffalo horn, used in folk and Bihu music.
  • D. Inca Taqui
    Inca Taqui is a 1953 studio album by Peruvian soprano Yma Sumac that showcases her extraordinary vocal range through music inspired by ancient Incan themes.
  • E. Diego
    Diego is a given name of Spanish origin commonly used in Spanish-speaking countries and beyond.
  • 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_69a257c3d0708190b0871c4269d273e6 completed Feb. 28, 2026, 2:49 a.m.
NER Named-entity recognition batch_69a25ceaecdc81909e9ff49cb6a4e02a completed Feb. 28, 2026, 3:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3765a652081909164489d1e3e39f6 completed Feb. 28, 2026, 11:12 p.m.
NEDg Description generation batch_69a37819afcc81909621442ca98a9baa completed Feb. 28, 2026, 11:19 p.m.
NED2 Entity disambiguation (via description) batch_69a378b9dc54819096a1d0899e8d8b92 completed Feb. 28, 2026, 11:22 p.m.
Created at: Feb. 28, 2026, 2:53 a.m.