Triple

T3871815
Position Surface form Disambiguated ID Type / Status
Subject Piers 1 through 5 E92402 entity
Predicate hasPart P35 FINISHED
Object Pier 5 E244105 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 5 | Statement: [Piers 1 through 5, hasPart, Pier 5]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pier 5
Context triple: [Piers 1 through 5, hasPart, Pier 5]
  • A. Pier 5 chosen
    Pier 5 is a recreational pier in Brooklyn Bridge Park known for its sports fields, waterfront views, and public gathering spaces along the Brooklyn waterfront.
  • B. 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.
  • C. Pier 51
    Pier 51 is a recreational pier within Manhattan’s Hudson River Park, known for its playground, water features, and riverside views.
  • D. Pier 4
    Pier 4 is a waterfront pier and recreational area within Brooklyn Bridge Park in Brooklyn, New York City.
  • E. Pier 7
    Pier 7 is one of the waterfront recreational piers within Brooklyn Bridge Park in Brooklyn, New York, offering public access and views along the East River.
  • 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_69aed967448c819086c4b358d37b25aa completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec5691148190b469af0bee9154db completed March 9, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b55612ab7081909ab9375da1e4119b completed March 14, 2026, 12:35 p.m.
Created at: March 9, 2026, 3:20 p.m.