Triple

T10804014
Position Surface form Disambiguated ID Type / Status
Subject South Beach E254915 entity
Predicate hasPart P35 FINISHED
Object Collins Avenue E56134 NE FINISHED

How this triple was built (2 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: Collins Avenue | Statement: [South Beach, hasPart, Collins Avenue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Collins Avenue
Context triple: [South Beach, hasPart, Collins Avenue]
  • A. Collins Avenue chosen
    Collins Avenue is a major thoroughfare in Miami Beach known for its beachfront hotels, Art Deco architecture, nightlife, and shopping.
  • B. Florida Street
    Florida Street is a famous pedestrian shopping and commercial thoroughfare in downtown Buenos Aires, Argentina, known for its retail stores, street performers, and historic architecture.
  • C. Florida Avenue
    Florida Avenue is a major east–west thoroughfare in Washington, D.C., forming part of the city's boundary between its central neighborhoods and the areas to the north.
  • D. Brickell Avenue
    Brickell Avenue is a major thoroughfare and financial district corridor in Miami, Florida, lined with high-rise offices, luxury condos, and upscale shops and restaurants.
  • E. South Miami Avenue
    South Miami Avenue is a major north–south thoroughfare in Miami, Florida, running through the Brickell financial district and connecting residential, commercial, and transit hubs.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aa61c15c8190a1839550c56e75e1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d73370e7388190885b104fc883456e completed April 9, 2026, 5:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69de567a7ea0819088a2fa10f8367d89 completed April 14, 2026, 3 p.m.
Created at: April 8, 2026, 9:18 p.m.