Triple

T16586986
Position Surface form Disambiguated ID Type / Status
Subject Embarcadero, San Francisco E402984 entity
Predicate hasLandmark P105 FINISHED
Object Pier 3 E203039 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 3 | Statement: [Embarcadero, San Francisco, hasLandmark, Pier 3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pier 3
Context triple: [Embarcadero, San Francisco, hasLandmark, Pier 3]
  • A. Pier 3 chosen
    Pier 3 is a historic waterfront pier along San Francisco’s Embarcadero, known for its maritime heritage and scenic views of the bay.
  • 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 2
    Pier 2 is a waterfront recreational pier in Brooklyn Bridge Park known for its sports courts, roller rink, and panoramic views of New York Harbor.
  • D. Pier 4
    Pier 4 is a waterfront pier and recreational area within Brooklyn Bridge Park in Brooklyn, New York City.
  • E. 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.
  • 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_6a007597905881909df7dc49961b6a02 completed May 10, 2026, 12:09 p.m.
Created at: April 10, 2026, 5:16 a.m.