Triple

T4843004
Position Surface form Disambiguated ID Type / Status
Subject Piers in Manhattan E108220 entity
Predicate hasPart P35 FINISHED
Object Pier 51 E312552 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 51 | Statement: [Piers in Manhattan, hasPart, Pier 51]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pier 51
Context triple: [Piers in Manhattan, hasPart, Pier 51]
  • A. Pier 51 chosen
    Pier 51 is a recreational pier within Manhattan’s Hudson River Park, known for its playground, water features, and riverside views.
  • B. Pier 5
    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.
  • C. Pier 50
    Pier 50 is one of the historic waterfront piers along San Francisco’s Embarcadero, used primarily for maritime and industrial purposes.
  • D. 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.
  • E. Pier 48
    Pier 48 is a historic waterfront pier in San Francisco’s Mission Bay area, known for its industrial maritime architecture and redevelopment plans as part of the city’s evolving shoreline.
  • 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_69bd4409b264819085ab855f3eb5381a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6cff1b008190b537feea0e0cc88f completed March 20, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69be89d3358c8190bb85ec1835a9f095 completed March 21, 2026, 12:06 p.m.
Created at: March 20, 2026, 1:25 p.m.