Triple

T5405602
Position Surface form Disambiguated ID Type / Status
Subject Boca Raton, Florida, United States E120884 entity
Predicate nickname P55 FINISHED
Object Boca
Boca is a shorthand name commonly used to refer to Boca Raton, an affluent coastal city in South Florida known for its beaches, upscale shopping, and planned communities.
 E516925 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: Boca | Statement: [Boca Raton, Florida, United States, nickname, Boca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Boca
Context triple: [Boca Raton, Florida, United States, nickname, Boca]
  • A. Boca
    Boca is the commonly used short name for Club Atlético Boca Juniors, one of Argentina’s most famous and successful football clubs based in Buenos Aires.
  • B. Saltina
    Saltina is a river in the canton of Valais in southern Switzerland that flows through the area of Brig-Glis.
  • C. San Blas
    San Blas is a coastal town and port in the Mexican state of Nayarit, known for its beaches, fishing, and nearby mangrove and bird-filled wetlands.
  • D. La Barra
    La Barra is a popular seaside resort town in Uruguay known for its beaches, nightlife, and proximity to Punta del Este.
  • E. La Costeña
    La Costeña is a Nicaraguan regional airline that operates domestic flights connecting Managua with various destinations across the country.
  • 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: Boca
Triple: [Boca Raton, Florida, United States, nickname, Boca]
Generated description
Boca is a shorthand name commonly used to refer to Boca Raton, an affluent coastal city in South Florida known for its beaches, upscale shopping, and planned communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Boca
Target entity description: Boca is a shorthand name commonly used to refer to Boca Raton, an affluent coastal city in South Florida known for its beaches, upscale shopping, and planned communities.
  • A. Boca
    Boca is the commonly used short name for Club Atlético Boca Juniors, one of Argentina’s most famous and successful football clubs based in Buenos Aires.
  • B. Saltina
    Saltina is a river in the canton of Valais in southern Switzerland that flows through the area of Brig-Glis.
  • C. San Blas
    San Blas is a coastal town and port in the Mexican state of Nayarit, known for its beaches, fishing, and nearby mangrove and bird-filled wetlands.
  • D. La Barra
    La Barra is a popular seaside resort town in Uruguay known for its beaches, nightlife, and proximity to Punta del Este.
  • E. La Costeña
    La Costeña is a Nicaraguan regional airline that operates domestic flights connecting Managua with various destinations across the country.
  • 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_69bd46391c0c81909fa484446732b6a3 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd8775e964819085c0ff5afea35f0e completed March 20, 2026, 5:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3394af9c81909f9a3bb06d48595d completed March 22, 2026, 12:11 a.m.
NEDg Description generation batch_69bf3438c218819098abd4b41f186b67 completed March 22, 2026, 12:13 a.m.
NED2 Entity disambiguation (via description) batch_69bf34d20d54819086349a656923f6e9 completed March 22, 2026, 12:16 a.m.
Created at: March 20, 2026, 2:05 p.m.