Triple

T8734235
Position Surface form Disambiguated ID Type / Status
Subject Gualivá Province E207334 entity
Predicate containsSettlement P847 FINISHED
Object Vianí
Vianí is a municipality and town in the Gualivá Province of the Cundinamarca Department in central Colombia.
 E753191 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: Vianí | Statement: [Gualivá Province, containsSettlement, Vianí]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vianí
Context triple: [Gualivá Province, containsSettlement, Vianí]
  • A. Vian
    Vian is a surname most notably associated with British Royal Navy Admiral Philip Vian, who served with distinction during both World Wars.
  • B. Vianen
    Vianen is a historic Dutch town known for its medieval city center and location near major rivers in the western Netherlands.
  • C. Viotá
    Viotá is a rural municipality in the Cundinamarca department of Colombia, known for its coffee production and location in the Andean region southwest of Bogotá.
  • D. Vica
    Vica is a diminutive or nickname commonly used for the given name Ludovica.
  • E. Valla
    Valla is an Italian surname most famously associated with Renaissance humanist and philologist Lorenzo Valla.
  • 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: Vianí
Triple: [Gualivá Province, containsSettlement, Vianí]
Generated description
Vianí is a municipality and town in the Gualivá Province of the Cundinamarca Department in central Colombia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vianí
Target entity description: Vianí is a municipality and town in the Gualivá Province of the Cundinamarca Department in central Colombia.
  • A. Vian
    Vian is a surname most notably associated with British Royal Navy Admiral Philip Vian, who served with distinction during both World Wars.
  • B. Vianen
    Vianen is a historic Dutch town known for its medieval city center and location near major rivers in the western Netherlands.
  • C. Viotá
    Viotá is a rural municipality in the Cundinamarca department of Colombia, known for its coffee production and location in the Andean region southwest of Bogotá.
  • D. Vica
    Vica is a diminutive or nickname commonly used for the given name Ludovica.
  • E. Valla
    Valla is an Italian surname most famously associated with Renaissance humanist and philologist Lorenzo Valla.
  • 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_69ca8358e4008190898471a59b96c301 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d2a26988190acfda17f232e610a completed March 31, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf2936f84081908cf91f1dc9a4d27f completed April 3, 2026, 2:43 a.m.
NEDg Description generation batch_69cf2bfc2cc48190b13c54282c15e107 completed April 3, 2026, 2:54 a.m.
NED2 Entity disambiguation (via description) batch_69cf2cbf60808190a006ee4fb26cde41 completed April 3, 2026, 2:58 a.m.
Created at: March 30, 2026, 6:37 p.m.