Triple

T7366177
Position Surface form Disambiguated ID Type / Status
Subject Casanare Department E169874 entity
Predicate hasMunicipality P847 FINISHED
Object Villanueva
Villanueva is a municipality in Colombia’s Casanare Department, known for its llanero culture and cattle-ranching traditions on the eastern plains.
E658151 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: [Casanare Department, hasMunicipality, Villanueva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Villanueva
Context triple: [Casanare Department, hasMunicipality, Villanueva]
  • A. Villanueva
    Villanueva is a municipality and town in northwestern Nicaragua, located within the Chinandega Department.
  • B. Villanueva
    Villanueva is a municipality and town located in the Bolívar Department of northern Colombia.
  • C. Hinojosa
    Hinojosa is a Spanish surname historically associated with figures such as José de la Serna e Hinojosa, the last viceroy of Peru.
  • D. Montalva
    Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
  • E. Vallecillo
    Vallecillo is a small municipality located in the Francisco Morazán Department of central Honduras.
  • 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: [Casanare Department, hasMunicipality, Villanueva]
Generated description
Villanueva is a municipality in Colombia’s Casanare Department, known for its llanero culture and cattle-ranching traditions on the eastern plains.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Villanueva
Target entity description: Villanueva is a municipality in Colombia’s Casanare Department, known for its llanero culture and cattle-ranching traditions on the eastern plains.
  • A. Villanueva
    Villanueva is a municipality and town in northwestern Nicaragua, located within the Chinandega Department.
  • B. Villanueva
    Villanueva is a municipality and town located in the Bolívar Department of northern Colombia.
  • C. Hinojosa
    Hinojosa is a Spanish surname historically associated with figures such as José de la Serna e Hinojosa, the last viceroy of Peru.
  • D. Montalva
    Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
  • E. Vallecillo
    Vallecillo is a small municipality located in the Francisco Morazán Department of central Honduras.
  • 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_69c68a5ade988190885b7175f63b7534 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f163038481909dedbffb4ae7f860 completed March 27, 2026, 9:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7fab9820c8190aa8b519a0852af6e completed March 28, 2026, 3:58 p.m.
NEDg Description generation batch_69c7fbffbc7881909a5b4e877a735848 completed March 28, 2026, 4:04 p.m.
NED2 Entity disambiguation (via description) batch_69c7fcb75c548190860e5488625f2f02 completed March 28, 2026, 4:07 p.m.
Created at: March 27, 2026, 3:06 p.m.