Triple

T11316855
Position Surface form Disambiguated ID Type / Status
Subject Arecibo, Puerto Rico E267989 entity
Predicate hasBarrio P4813 FINISHED
Object Domingo Ruíz
Domingo Ruíz is a rural barrio (district) of the municipality of Arecibo in Puerto Rico.
E918796 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: Domingo Ruíz | Statement: [Arecibo, Puerto Rico, hasBarrio, Domingo Ruíz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Domingo Ruíz
Context triple: [Arecibo, Puerto Rico, hasBarrio, Domingo Ruíz]
  • A. Antonio Cruz Villalón
    Antonio Cruz Villalón is a Spanish architect best known as a co-founder of the renowned architectural firm Cruz y Ortiz Arquitectos, recognized for its contemporary public and cultural buildings.
  • B. Vicente Navarro
    Vicente Navarro is a Spanish footballer known for playing as a midfielder in the early 20th century, notably for Valencia CF.
  • C. Enrique Gil
    Enrique Gil is a Filipino actor, dancer, and model best known for his leading roles in popular Philippine television dramas and films.
  • D. Francisco Navarro
    Francisco Navarro is a personal name shared by several notable individuals across fields such as politics, sports, and the arts in Spanish-speaking countries.
  • E. Ramón García
    Ramón García is an architect known for his work on the design of Puerto Rico’s Capitol building in San Juan.
  • 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: Domingo Ruíz
Triple: [Arecibo, Puerto Rico, hasBarrio, Domingo Ruíz]
Generated description
Domingo Ruíz is a rural barrio (district) of the municipality of Arecibo in Puerto Rico.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Domingo Ruíz
Target entity description: Domingo Ruíz is a rural barrio (district) of the municipality of Arecibo in Puerto Rico.
  • A. Antonio Cruz Villalón
    Antonio Cruz Villalón is a Spanish architect best known as a co-founder of the renowned architectural firm Cruz y Ortiz Arquitectos, recognized for its contemporary public and cultural buildings.
  • B. Vicente Navarro
    Vicente Navarro is a Spanish footballer known for playing as a midfielder in the early 20th century, notably for Valencia CF.
  • C. Enrique Gil
    Enrique Gil is a Filipino actor, dancer, and model best known for his leading roles in popular Philippine television dramas and films.
  • D. Francisco Navarro
    Francisco Navarro is a personal name shared by several notable individuals across fields such as politics, sports, and the arts in Spanish-speaking countries.
  • E. Ramón García
    Ramón García is an architect known for his work on the design of Puerto Rico’s Capitol building in San Juan.
  • 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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9c3cf748190987838029d9f7fff completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69e525c35538819085d76f7cdf362316 completed April 19, 2026, 6:58 p.m.
NEDg Description generation batch_69e52c81449c8190847b64fa91a45b2e completed April 19, 2026, 7:26 p.m.
NED2 Entity disambiguation (via description) batch_69e531b079708190ac9e19127d36a848 completed April 19, 2026, 7:49 p.m.
Created at: April 8, 2026, 9:32 p.m.