Triple

T6093598
Position Surface form Disambiguated ID Type / Status
Subject Bolívar Department E135824 entity
Predicate contains P35 FINISHED
Object Villanueva
Villanueva is a municipality and town located in the Bolívar Department of northern Colombia.
 E572547 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: Villanueva | Statement: [Bolívar Department, contains, Villanueva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Villanueva
Context triple: [Bolívar Department, contains, Villanueva]
  • A. Villanueva
    Villanueva is a municipality and town in northwestern Nicaragua, located within the Chinandega Department.
  • B. Hinojosa
    Hinojosa is a Spanish surname historically associated with figures such as José de la Serna e Hinojosa, the last viceroy of Peru.
  • C. Montalva
    Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
  • D. Vallecillo
    Vallecillo is a small municipality located in the Francisco Morazán Department of central Honduras.
  • E. Vicálvaro
    Vicálvaro is a district in the southeast of Madrid, Spain, known for its residential character and educational institutions, including a campus of Rey Juan Carlos University.
  • 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: Villanueva
Triple: [Bolívar Department, contains, Villanueva]
Generated description
Villanueva is a municipality and town located in the Bolívar Department of northern Colombia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Villanueva
Target entity description: Villanueva is a municipality and town located in the Bolívar Department of northern Colombia.
  • A. Villanueva
    Villanueva is a municipality and town in northwestern Nicaragua, located within the Chinandega Department.
  • B. Hinojosa
    Hinojosa is a Spanish surname historically associated with figures such as José de la Serna e Hinojosa, the last viceroy of Peru.
  • C. Montalva
    Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
  • D. Vallecillo
    Vallecillo is a small municipality located in the Francisco Morazán Department of central Honduras.
  • E. Vicálvaro
    Vicálvaro is a district in the southeast of Madrid, Spain, known for its residential character and educational institutions, including a campus of Rey Juan Carlos University.
  • 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_69c0087cd3c48190b459848c72d84eb1 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05a9516ec819093e94ee8d3244e1b completed March 22, 2026, 9:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c14158c4fc81908a42e431423284d2 completed March 23, 2026, 1:34 p.m.
NEDg Description generation batch_69c14528a7788190be01f26edfe9f8a0 completed March 23, 2026, 1:50 p.m.
NED2 Entity disambiguation (via description) batch_69c14590bf648190b7dc4aaea8fa68df completed March 23, 2026, 1:52 p.m.
Created at: March 22, 2026, 4:12 p.m.