Triple

T2315623
Position Surface form Disambiguated ID Type / Status
Subject Embarcadero waterfront E51055 entity
Predicate contains P35 FINISHED
Object Pier 33 E93982 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: Pier 33 | Statement: [Embarcadero waterfront, contains, Pier 33]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pier 33
Context triple: [Embarcadero waterfront, contains, Pier 33]
  • A. Pier 33 chosen
    Pier 33 is a waterfront terminal in San Francisco that serves as the primary departure point for ferry trips to Alcatraz Island.
  • B. Pier 3
    Pier 3 is a recreational pier within Brooklyn Bridge Park in Brooklyn, New York, featuring open green space, waterfront views, and leisure amenities.
  • C. Pier 3
    Pier 3 is a historic waterfront pier along San Francisco’s Embarcadero, known for its maritime heritage and scenic views of the bay.
  • D. Pier 39
    Pier 39 is a popular waterfront shopping, dining, and entertainment complex in San Francisco best known for its sea lions, bay views, and tourist attractions.
  • E. Pier 57
    Pier 57 is a historic waterfront pier and entertainment complex on Seattle’s Elliott Bay, featuring restaurants, shops, and attractions along the city’s central waterfront.
  • 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_69a88b074b908190ae983dbca7757d88 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc61e72508190b335cda2c7fef130 completed March 7, 2026, 6:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1f78cce88190a74f9ab6a540fe83 completed March 9, 2026, 7:28 p.m.
Created at: March 4, 2026, 7:49 p.m.