Triple

T126325
Position Surface form Disambiguated ID Type / Status
Subject Condado E2558 entity
Predicate adjacentTo P224 FINISHED
Object Miramar
Miramar is a historic, upscale neighborhood in San Juan, Puerto Rico, known for its residential character, cultural venues, and proximity to the Condado and Santurce districts.
 E26058 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: Miramar | Statement: [Condado, adjacentTo, Miramar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Miramar
Context triple: [Condado, adjacentTo, Miramar]
  • A. Malecón
    Malecón is a famous seaside promenade and seawall in Havana, Cuba, known for its ocean views, social life, and historic architecture.
  • B. Concepción
    Concepción is a major Chilean city in the south-central part of the country, known as an important industrial, commercial, and educational center.
  • C. Concepción
    Concepción was one of the ships in Ferdinand Magellan’s expedition that took part in the first circumnavigation of the globe.
  • D. Valparaíso
    Valparaíso is a major Pacific port city in central Chile, renowned for its steep hillsides, colorful houses, historic funiculars, and UNESCO-listed historic quarter.
  • E. San Isidro
    San Isidro is an upscale, modern district of Lima, Peru, known for its financial center, embassies, parks, and high-end residential areas.
  • 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: Miramar
Triple: [Condado, adjacentTo, Miramar]
Generated description
Miramar is a historic, upscale neighborhood in San Juan, Puerto Rico, known for its residential character, cultural venues, and proximity to the Condado and Santurce districts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Miramar
Target entity description: Miramar is a historic, upscale neighborhood in San Juan, Puerto Rico, known for its residential character, cultural venues, and proximity to the Condado and Santurce districts.
  • A. Malecón
    Malecón is a famous seaside promenade and seawall in Havana, Cuba, known for its ocean views, social life, and historic architecture.
  • B. Concepción
    Concepción is a major Chilean city in the south-central part of the country, known as an important industrial, commercial, and educational center.
  • C. Concepción
    Concepción was one of the ships in Ferdinand Magellan’s expedition that took part in the first circumnavigation of the globe.
  • D. Valparaíso
    Valparaíso is a major Pacific port city in central Chile, renowned for its steep hillsides, colorful houses, historic funiculars, and UNESCO-listed historic quarter.
  • E. San Isidro
    San Isidro is an upscale, modern district of Lima, Peru, known for its financial center, embassies, parks, and high-end residential areas.
  • 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_69a251b54ea88190b18281669f59b4c0 completed Feb. 28, 2026, 2:23 a.m.
NER Named-entity recognition batch_69a25760af348190bf402089c240887d completed Feb. 28, 2026, 2:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3280fa2e08190a367f06d721ed2a3 completed Feb. 28, 2026, 5:38 p.m.
NEDg Description generation batch_69a328cdb208819087aaa0e6149bef79 completed Feb. 28, 2026, 5:41 p.m.
NED2 Entity disambiguation (via description) batch_69a32921b0408190a13d8e0436d3e145 completed Feb. 28, 2026, 5:42 p.m.
Created at: Feb. 28, 2026, 2:27 a.m.