Triple

T16586996
Position Surface form Disambiguated ID Type / Status
Subject Embarcadero, San Francisco E402984 entity
Predicate hasLandmark P105 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, San Francisco, hasLandmark, Pier 33]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pier 33
Context triple: [Embarcadero, San Francisco, hasLandmark, 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 34
    Pier 34 is a waterfront pier in Lower Manhattan, New York City, known for its location along the Hudson River near other downtown piers.
  • C. Pier 23
    Pier 23 is a historic waterfront spot along San Francisco’s Embarcadero known for its casual seafood restaurant, bar, and scenic bay views.
  • D. Pier 35
    Pier 35 is a waterfront pier and public space on Manhattan’s East River, known for its recreational areas and views of the New York City skyline.
  • E. Pier 63
    Pier 63 is a recreational pier and public space along Manhattan’s Hudson River waterfront, known for its parkland, river views, and cultural and leisure activities.
  • 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_69d88387363c8190a97a0c942130de97 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3599daa508190a9ed6f64138c0e53 completed April 18, 2026, 10:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00c29465188190a2ba6e3a7b695de3 completed May 10, 2026, 5:38 p.m.
Created at: April 10, 2026, 5:16 a.m.