Triple

T21699633
Position Surface form Disambiguated ID Type / Status
Subject LA Waterfront Red Car E535619 entity
Predicate serves P98 FINISHED
Object LA Waterfront NE NERFINISHED

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: LA Waterfront | Statement: [LA Waterfront Red Car, serves, LA Waterfront]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LA Waterfront
Context triple: [LA Waterfront Red Car, serves, LA Waterfront]
  • A. Marina del Rey
    Marina del Rey is a coastal unincorporated community in Los Angeles County known for its large man-made small-craft harbor, waterfront residences, and recreational boating.
  • B. Long Beach harbor
    Long Beach harbor is a major port and waterfront area in Long Beach, California, known for its busy shipping terminals, marinas, and views of the Pacific Ocean.
  • C. Los Angeles Harbor chosen
    Los Angeles Harbor is a major seaport in the San Pedro area of Los Angeles that serves as a key hub for international trade and maritime activity on the U.S. West Coast.
  • D. The Marina
    The Marina is a lively waterfront area along Chicago’s Riverwalk known for its restaurants, bars, and scenic views of the Chicago River.
  • E. Alameda waterfront
    The Alameda waterfront is a scenic shoreline area in Alameda, California, featuring marinas, parks, trails, and views across the Oakland Estuary and San Francisco Bay.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c46a6ee481908836e1420fb78c9b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef9b7de9888190bbca7717a32f9888 completed April 27, 2026, 5:23 p.m.
Created at: April 16, 2026, 6:45 p.m.