Triple

T8341897
Position Surface form Disambiguated ID Type / Status
Subject Province of Tequendama E195936 entity
Predicate containsMunicipality P852 FINISHED
Object 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.
 E728413 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: Viotá | Statement: [Province of Tequendama, containsMunicipality, Viotá]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Viotá
Context triple: [Province of Tequendama, containsMunicipality, Viotá]
  • A. Vitlycke
    Vitlycke is a renowned Bronze Age rock carving site in Tanum, Sweden, noted for its extensive petroglyphs and archaeological significance.
  • B. Fiala
    Fiala is a Czech surname most prominently associated with Petr Fiala, the Czech politician and Prime Minister.
  • C. Vica
    Vica is a diminutive or nickname commonly used for the given name Ludovica.
  • D. Olgovichi
    Olgovichi were a prominent princely branch of the Rurikid dynasty that ruled various principalities in medieval Kievan Rus, particularly centered around Chernigov.
  • E. Vézina
    Vézina is a French-Canadian surname most famously associated with Georges Vézina, the legendary early 20th-century ice hockey goaltender and namesake of the NHL’s Vezina Trophy.
  • 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: Viotá
Triple: [Province of Tequendama, containsMunicipality, Viotá]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Viotá
Target entity description: 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.
  • A. Vitlycke
    Vitlycke is a renowned Bronze Age rock carving site in Tanum, Sweden, noted for its extensive petroglyphs and archaeological significance.
  • B. Fiala
    Fiala is a Czech surname most prominently associated with Petr Fiala, the Czech politician and Prime Minister.
  • C. Vica
    Vica is a diminutive or nickname commonly used for the given name Ludovica.
  • D. Olgovichi
    Olgovichi were a prominent princely branch of the Rurikid dynasty that ruled various principalities in medieval Kievan Rus, particularly centered around Chernigov.
  • E. Vézina
    Vézina is a French-Canadian surname most famously associated with Georges Vézina, the legendary early 20th-century ice hockey goaltender and namesake of the NHL’s Vezina Trophy.
  • 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_69ca82ecbdc481908a55cad8ca062d88 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7fe9efec81908e0c9ded3963bac5 completed March 31, 2026, 8:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc72bc43c81909d95c7eb6aefc403 completed April 2, 2026, 1:32 a.m.
NEDg Description generation batch_69cdcb90bec88190a2c19681405aa13e completed April 2, 2026, 1:51 a.m.
NED2 Entity disambiguation (via description) batch_69cdcd0fc9488190a0a576c385b9bc1f completed April 2, 2026, 1:57 a.m.
Created at: March 30, 2026, 5:58 p.m.