Triple

T403650
Position Surface form Disambiguated ID Type / Status
Subject San Juan–Caguas–Guaynabo metropolitan area E9337 entity
Predicate hasPart P35 FINISHED
Object Dorado
Dorado is a coastal municipality in northern Puerto Rico known for its upscale resorts, golf courses, and residential communities.
 E52362 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: Dorado | Statement: [San Juan–Caguas–Guaynabo metropolitan area, hasPart, Dorado]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dorado
Context triple: [San Juan–Caguas–Guaynabo metropolitan area, hasPart, Dorado]
  • A. Culebrita
    Culebrita is a small, uninhabited cay off the coast of Culebra, Puerto Rico, known for its pristine beaches, clear waters, and historic lighthouse.
  • B. Barra
    Barra is a scenic island in the Outer Hebrides of Scotland, known for its rugged coastline, Gaelic culture, and the unique beach runway at Barra Airport.
  • C. Barra
    Barra is the surname of Mary Barra, the prominent American business executive and CEO of General Motors.
  • D. Canóvanas
    Canóvanas is a municipality in northeastern Puerto Rico known for its proximity to San Juan and its blend of suburban communities with rural, mountainous landscapes.
  • E. Pinta
    Pinta was one of the three ships in Christopher Columbus's 1492 expedition that led to the European discovery of the Americas.
  • 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: Dorado
Triple: [San Juan–Caguas–Guaynabo metropolitan area, hasPart, Dorado]
Generated description
Dorado is a coastal municipality in northern Puerto Rico known for its upscale resorts, golf courses, and residential communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dorado
Target entity description: Dorado is a coastal municipality in northern Puerto Rico known for its upscale resorts, golf courses, and residential communities.
  • A. Culebrita
    Culebrita is a small, uninhabited cay off the coast of Culebra, Puerto Rico, known for its pristine beaches, clear waters, and historic lighthouse.
  • B. Barra
    Barra is a scenic island in the Outer Hebrides of Scotland, known for its rugged coastline, Gaelic culture, and the unique beach runway at Barra Airport.
  • C. Barra
    Barra is the surname of Mary Barra, the prominent American business executive and CEO of General Motors.
  • D. Canóvanas
    Canóvanas is a municipality in northeastern Puerto Rico known for its proximity to San Juan and its blend of suburban communities with rural, mountainous landscapes.
  • E. Pinta
    Pinta was one of the three ships in Christopher Columbus's 1492 expedition that led to the European discovery of the Americas.
  • 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_69a2e8004cb88190b92ed1add6abf41a completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2eca226fc81909d6ccc38a637daa6 completed Feb. 28, 2026, 1:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69a41b4695288190b4a7e67b6a112ca6 completed March 1, 2026, 10:56 a.m.
NEDg Description generation batch_69a41ef33c3c81909c8c9ce2964748ee completed March 1, 2026, 11:11 a.m.
NED2 Entity disambiguation (via description) batch_69a4206a7ef8819086cf8c02f098551e completed March 1, 2026, 11:18 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.