Triple

T21531422
Position Surface form Disambiguated ID Type / Status
Subject Municipality of Caguas E531238 entity
Predicate hasBarrio P4813 FINISHED
Object Turabo
Turabo is a barrio (district) within the municipality of Caguas in Puerto Rico, functioning as one of its local administrative and residential communities.
 E1489143 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: Turabo | Statement: [Municipality of Caguas, hasBarrio, Turabo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Turabo
Context triple: [Municipality of Caguas, hasBarrio, Turabo]
  • A. Mariquina
    Mariquina is a commune and town in southern Chile, located in the Los Ríos Region and known for its rural landscapes and Mapuche cultural presence.
  • B. Curillo
    Curillo is a small municipality located in the Caquetá Department of southern Colombia, known for its rural character and proximity to Amazonian rainforest regions.
  • C. La Vega
    La Vega is a town and municipality in Colombia known for its lush mountainous landscapes and proximity to Bogotá.
  • D. La Vega
    La Vega is a major city in the fertile Cibao region of the Dominican Republic, known for its agriculture and vibrant Carnival celebrations.
  • E. Balbuena
    Balbuena is a metro station on Mexico City’s Line 1 serving the Balbuena neighborhood in the eastern part of the city.
  • 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: Turabo
Triple: [Municipality of Caguas, hasBarrio, Turabo]
Generated description
Turabo is a barrio (district) within the municipality of Caguas in Puerto Rico, functioning as one of its local administrative and residential communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Turabo
Target entity description: Turabo is a barrio (district) within the municipality of Caguas in Puerto Rico, functioning as one of its local administrative and residential communities.
  • A. Mariquina
    Mariquina is a commune and town in southern Chile, located in the Los Ríos Region and known for its rural landscapes and Mapuche cultural presence.
  • B. Curillo
    Curillo is a small municipality located in the Caquetá Department of southern Colombia, known for its rural character and proximity to Amazonian rainforest regions.
  • C. La Vega
    La Vega is a town and municipality in Colombia known for its lush mountainous landscapes and proximity to Bogotá.
  • D. La Vega
    La Vega is a major city in the fertile Cibao region of the Dominican Republic, known for its agriculture and vibrant Carnival celebrations.
  • E. Balbuena
    Balbuena is a metro station on Mexico City’s Line 1 serving the Balbuena neighborhood in the eastern part of the city.
  • 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_69e0c45e5b8881908ac18fc2f493b114 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee9d08ebf881909574e098404f93fa completed April 26, 2026, 11:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a09e83156f48190aa472ffa77a4de57 completed May 17, 2026, 4:09 p.m.
NEDg Description generation batch_6a09e8d6d1a88190b3f48111ed6a4043 completed May 17, 2026, 4:12 p.m.
NED2 Entity disambiguation (via description) batch_6a09e94d6f2c819097df5c0a2b59e63a completed May 17, 2026, 4:14 p.m.
Created at: April 16, 2026, 6:27 p.m.