Triple

T7602488
Position Surface form Disambiguated ID Type / Status
Subject Chicamocha Canyon E180016 entity
Predicate nearbyTown P3883 FINISHED
Object Aratoca
Aratoca is a small Colombian town in the Santander department, known for its proximity to the scenic Chicamocha Canyon and its rural Andean landscapes.
 E675906 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: Aratoca | Statement: [Chicamocha Canyon, nearbyTown, Aratoca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aratoca
Context triple: [Chicamocha Canyon, nearbyTown, Aratoca]
  • A. Saltina
    Saltina is a river in the canton of Valais in southern Switzerland that flows through the area of Brig-Glis.
  • B. Culebrita
    Culebrita is a small, uninhabited cay off the coast of Culebra, Puerto Rico, known for its pristine beaches, clear waters, and historic lighthouse.
  • C. Guana
    Guana is a dialect of the Terena language spoken by Indigenous communities in parts of South America.
  • D. Boca
    Boca is the commonly used short name for Club Atlético Boca Juniors, one of Argentina’s most famous and successful football clubs based in Buenos Aires.
  • E. Boca
    Boca is a shorthand name commonly used to refer to Boca Raton, an affluent coastal city in South Florida known for its beaches, upscale shopping, and planned communities.
  • 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: Aratoca
Triple: [Chicamocha Canyon, nearbyTown, Aratoca]
Generated description
Aratoca is a small Colombian town in the Santander department, known for its proximity to the scenic Chicamocha Canyon and its rural Andean landscapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aratoca
Target entity description: Aratoca is a small Colombian town in the Santander department, known for its proximity to the scenic Chicamocha Canyon and its rural Andean landscapes.
  • A. Saltina
    Saltina is a river in the canton of Valais in southern Switzerland that flows through the area of Brig-Glis.
  • B. Culebrita
    Culebrita is a small, uninhabited cay off the coast of Culebra, Puerto Rico, known for its pristine beaches, clear waters, and historic lighthouse.
  • C. Guana
    Guana is a dialect of the Terena language spoken by Indigenous communities in parts of South America.
  • D. Boca
    Boca is the commonly used short name for Club Atlético Boca Juniors, one of Argentina’s most famous and successful football clubs based in Buenos Aires.
  • E. Boca
    Boca is a shorthand name commonly used to refer to Boca Raton, an affluent coastal city in South Florida known for its beaches, upscale shopping, and planned communities.
  • 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_69c69f3567008190ab01d2ca7b53584a completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f9f8e7848190b44d9c16b9c95d37 completed March 27, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8684a98fc8190b3d0568f13ccd123 completed March 28, 2026, 11:46 p.m.
NEDg Description generation batch_69c8691bf25881909585bb04404f90da completed March 28, 2026, 11:49 p.m.
NED2 Entity disambiguation (via description) batch_69c8698f70a081909633b3b6d7fd45e1 completed March 28, 2026, 11:51 p.m.
Created at: March 27, 2026, 3:54 p.m.