Triple

T10804013
Position Surface form Disambiguated ID Type / Status
Subject South Beach E254915 entity
Predicate hasPart P35 FINISHED
Object Ocean Drive E244538 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: Ocean Drive | Statement: [South Beach, hasPart, Ocean Drive]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ocean Drive
Context triple: [South Beach, hasPart, Ocean Drive]
  • A. Ocean Drive
    Ocean Drive is a coastal road in New South Wales, Australia, that links several Mid North Coast towns and provides access to beaches and local communities.
  • B. Ocean Drive
    Ocean Drive is a scenic coastal roadway in Newport, Rhode Island, known for its sweeping ocean views, historic mansions, and popular recreational outlooks.
  • C. Ocean Drive chosen
    Ocean Drive is a famous beachfront thoroughfare in Miami Beach known for its vibrant nightlife, palm-lined sidewalks, and iconic pastel Art Deco architecture.
  • D. Long Beach Road
    Long Beach Road is a primary thoroughfare in Nassau County, New York, connecting Oceanside with neighboring South Shore communities and serving as a key local commuter and commercial route.
  • E. Beverly Boulevard
    Beverly Boulevard is a major thoroughfare in Los Angeles known for its mix of trendy boutiques, restaurants, and urban shopping destinations.
  • 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.