Triple

T8406103
Position Surface form Disambiguated ID Type / Status
Subject Alto Guavio Province E198503 entity
Predicate containsMunicipality P852 FINISHED
Object Ubalá
Ubalá is a rural municipality in the Cundinamarca Department of Colombia, known for its mountainous terrain and proximity to hydroelectric and natural resource areas.
 E731294 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: Ubalá | Statement: [Alto Guavio Province, containsMunicipality, Ubalá]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ubalá
Context triple: [Alto Guavio Province, containsMunicipality, Ubalá]
  • A. Azoyú
    Azoyú is a small town and municipal seat in the Costa Chica region of the Mexican state of Guerrero, known for its rural character and coastal cultural traditions.
  • B. Fiambalá
    Fiambalá is a small town in northwestern Argentina known for its high-altitude vineyards, desert landscapes, and nearby Andean mountain passes.
  • C. Ciluba
    Ciluba is a Bantu language spoken primarily in the Democratic Republic of the Congo, especially in the Kasai region.
  • D. Muribenua
    Muribenua is a village on the low-lying coral atoll of Nikunau in the Republic of Kiribati, a Pacific island nation.
  • E. Labayu
    Labayu was a 14th-century BCE Canaanite ruler known from the Amarna letters for his aggressive expansionism and conflicts with neighboring city-states.
  • 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: Ubalá
Triple: [Alto Guavio Province, containsMunicipality, Ubalá]
Generated description
Ubalá is a rural municipality in the Cundinamarca Department of Colombia, known for its mountainous terrain and proximity to hydroelectric and natural resource areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ubalá
Target entity description: Ubalá is a rural municipality in the Cundinamarca Department of Colombia, known for its mountainous terrain and proximity to hydroelectric and natural resource areas.
  • A. Azoyú
    Azoyú is a small town and municipal seat in the Costa Chica region of the Mexican state of Guerrero, known for its rural character and coastal cultural traditions.
  • B. Fiambalá
    Fiambalá is a small town in northwestern Argentina known for its high-altitude vineyards, desert landscapes, and nearby Andean mountain passes.
  • C. Ciluba
    Ciluba is a Bantu language spoken primarily in the Democratic Republic of the Congo, especially in the Kasai region.
  • D. Muribenua
    Muribenua is a village on the low-lying coral atoll of Nikunau in the Republic of Kiribati, a Pacific island nation.
  • E. Labayu
    Labayu was a 14th-century BCE Canaanite ruler known from the Amarna letters for his aggressive expansionism and conflicts with neighboring city-states.
  • 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_69ca8310df9c8190b25f16161cca3e41 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb8312941c8190af0b2def0a4e02be completed March 31, 2026, 8:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce03035e148190867b60ddaeb8d761 completed April 2, 2026, 5:47 a.m.
NEDg Description generation batch_69ce07808098819087e896b87320aefd completed April 2, 2026, 6:06 a.m.
NED2 Entity disambiguation (via description) batch_69ce08759e1c81909c96caf3b571e1ca completed April 2, 2026, 6:11 a.m.
Created at: March 30, 2026, 6:05 p.m.