Triple

T4637049
Position Surface form Disambiguated ID Type / Status
Subject Santa Marta E101556 entity
Predicate hasBeach P1922 FINISHED
Object El Rodadero
El Rodadero is a popular tourist beach and resort area near Santa Marta on Colombia’s Caribbean coast, known for its lively atmosphere, hotels, and waterfront activities.
 E458939 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: El Rodadero | Statement: [Santa Marta, hasBeach, El Rodadero]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: El Rodadero
Context triple: [Santa Marta, hasBeach, El Rodadero]
  • A. Rodar y Rodar
    Rodar y Rodar is a Spanish film production company best known internationally for producing the acclaimed horror film "The Orphanage."
  • B. El Caminero
    El Caminero is a major southern terminal station of Mexico City’s Metrobús bus rapid transit system.
  • C. El Empalme
    El Empalme is a town and canton in coastal Ecuador known for its agricultural activity, particularly in the fertile lowlands of Guayas Province.
  • D. La Higuera
    La Higuera is a small rural commune and village in Chile’s Coquimbo Region, known for its clear skies, coastal landscapes, and proximity to astronomical observatories.
  • E. Camoteros
    Camoteros is the popular nickname for the Mexican football club Puebla FC and its supporters.
  • 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: El Rodadero
Triple: [Santa Marta, hasBeach, El Rodadero]
Generated description
El Rodadero is a popular tourist beach and resort area near Santa Marta on Colombia’s Caribbean coast, known for its lively atmosphere, hotels, and waterfront activities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: El Rodadero
Target entity description: El Rodadero is a popular tourist beach and resort area near Santa Marta on Colombia’s Caribbean coast, known for its lively atmosphere, hotels, and waterfront activities.
  • A. Rodar y Rodar
    Rodar y Rodar is a Spanish film production company best known internationally for producing the acclaimed horror film "The Orphanage."
  • B. El Caminero
    El Caminero is a major southern terminal station of Mexico City’s Metrobús bus rapid transit system.
  • C. El Empalme
    El Empalme is a town and canton in coastal Ecuador known for its agricultural activity, particularly in the fertile lowlands of Guayas Province.
  • D. La Higuera
    La Higuera is a small rural commune and village in Chile’s Coquimbo Region, known for its clear skies, coastal landscapes, and proximity to astronomical observatories.
  • E. Camoteros
    Camoteros is the popular nickname for the Mexican football club Puebla FC and its supporters.
  • 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_69bd43d2f1c081908cd4b7ec48ecc73d completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a62a9e48190b0cf1cbcc51f00c0 completed March 20, 2026, 2:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfacba5fc8190bc86157ee5719ced completed March 21, 2026, 1:56 a.m.
NEDg Description generation batch_69bdfed8a8b48190bcb98e2ff1886b65 completed March 21, 2026, 2:13 a.m.
NED2 Entity disambiguation (via description) batch_69bdff9ff3748190af5e5a6d91976abc completed March 21, 2026, 2:17 a.m.
Created at: March 20, 2026, 1:13 p.m.