Triple

T10820087
Position Surface form Disambiguated ID Type / Status
Subject San Francisco E255343 entity
Predicate hasLandmark P105 FINISHED
Object Ferry Building E99968 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: Ferry Building | Statement: [San Francisco, hasLandmark, Ferry Building]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ferry Building
Context triple: [San Francisco, hasLandmark, Ferry Building]
  • A. Ferry Building chosen
    The Ferry Building is a historic San Francisco waterfront terminal and landmark known for its iconic clock tower and bustling marketplace of shops and eateries.
  • B. 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.
  • C. Main Street Alameda Ferry Terminal
    Main Street Alameda Ferry Terminal is a passenger ferry terminal in Alameda, California, providing commuter and recreational ferry service across the San Francisco Bay.
  • D. Pier 50
    Pier 50 is a passenger-only ferry terminal on Seattle’s central waterfront, serving as a key hub for King County Water Taxi and other regional ferry services.
  • E. Pier 50
    Pier 50 is one of the historic waterfront piers along San Francisco’s Embarcadero, used primarily for maritime and industrial purposes.
  • 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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d73449eee88190afa52c4e6ef96baa completed April 9, 2026, 5:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69de8569178481909474e939a3e4c217 completed April 14, 2026, 6:20 p.m.
Created at: April 8, 2026, 9:18 p.m.