Triple

T12333989
Position Surface form Disambiguated ID Type / Status
Subject San Juan de la Maguana E294033 entity
Predicate hasMunicipalDistrict P78738 FINISHED
Object La Jagua
La Jagua is a rural municipal district within the municipality of San Juan de la Maguana in the Dominican Republic.
 E978329 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: La Jagua | Statement: [San Juan de la Maguana, hasMunicipalDistrict, La Jagua]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: La Jagua
Context triple: [San Juan de la Maguana, hasMunicipalDistrict, La Jagua]
  • A. El Caño
    El Caño is a pre-Columbian archaeological site in Panama known for its elaborate burial grounds and rich material remains associated with the Gran Coclé culture.
  • B. La Ciénaga
    La Ciénaga is a small mountain village in the Dominican Republic that serves as the main gateway for treks to Pico Duarte, the Caribbean’s highest peak.
  • C. La Ceiba
    La Ceiba is a prominent coastal city in northern Honduras known for its Caribbean port, vibrant nightlife, and annual carnival celebrations.
  • D. La Lagunilla
    La Lagunilla is a traditional neighborhood and famous market area in Mexico City known for its antiques, clothing, and vibrant street commerce.
  • E. Guana
    Guana is a dialect of the Terena language spoken by Indigenous communities in parts of South America.
  • 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: La Jagua
Triple: [San Juan de la Maguana, hasMunicipalDistrict, La Jagua]
Generated description
La Jagua is a rural municipal district within the municipality of San Juan de la Maguana in the Dominican Republic.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: La Jagua
Target entity description: La Jagua is a rural municipal district within the municipality of San Juan de la Maguana in the Dominican Republic.
  • A. El Caño
    El Caño is a pre-Columbian archaeological site in Panama known for its elaborate burial grounds and rich material remains associated with the Gran Coclé culture.
  • B. La Ciénaga
    La Ciénaga is a small mountain village in the Dominican Republic that serves as the main gateway for treks to Pico Duarte, the Caribbean’s highest peak.
  • C. La Ceiba
    La Ceiba is a prominent coastal city in northern Honduras known for its Caribbean port, vibrant nightlife, and annual carnival celebrations.
  • D. La Lagunilla
    La Lagunilla is a traditional neighborhood and famous market area in Mexico City known for its antiques, clothing, and vibrant street commerce.
  • E. Guana
    Guana is a dialect of the Terena language spoken by Indigenous communities in parts of South America.
  • 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_69d6ab6ae0dc8190b1522a9c1c55c114 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f64ad20819080d99e57833b4b51 completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62aa367348190b3991f256586a331 completed May 2, 2026, 4:47 p.m.
NEDg Description generation batch_69f62d0377348190b7c227cad70286ac completed May 2, 2026, 4:57 p.m.
NED2 Entity disambiguation (via description) batch_69f62dc269e88190acce761f77d44654 completed May 2, 2026, 5 p.m.
Created at: April 8, 2026, 9:53 p.m.