Triple

T3037887
Position Surface form Disambiguated ID Type / Status
Subject Port of Philadelphia E83054 entity
Predicate hasFacility P105 FINISHED
Object Pier 84
Pier 84 is a waterfront facility within the Port of Philadelphia used for maritime and cargo-related operations.
E335555 NE FINISHED

How this triple was built (4 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 84 | Statement: [Port of Philadelphia, hasFacility, Pier 84]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pier 84
Context triple: [Port of Philadelphia, hasFacility, Pier 84]
  • A. Pier 84
    Pier 84 is a popular recreational pier along Manhattan’s Hudson River waterfront, featuring green space, seating, and riverfront views within Hudson River Park.
  • B. Pier 68
    Pier 68 is a public recreational pier and park on Philadelphia’s Delaware River waterfront, known for its fishing spots, river views, and landscaped green space.
  • C. Pier 45
    Pier 45 is a popular recreational pier in Manhattan’s Greenwich Village, known for its lawns, waterfront views, and role as a gathering spot along the Hudson River.
  • D. Pier 8
    Pier 8 is a section of Brooklyn Bridge Park along the Brooklyn waterfront, featuring recreational public space and views of New York Harbor.
  • E. 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.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Pier 84
Triple: [Port of Philadelphia, hasFacility, Pier 84]
Generated description
Pier 84 is a waterfront facility within the Port of Philadelphia used for maritime and cargo-related operations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pier 84
Target entity description: Pier 84 is a waterfront facility within the Port of Philadelphia used for maritime and cargo-related operations.
  • A. Pier 84
    Pier 84 is a popular recreational pier along Manhattan’s Hudson River waterfront, featuring green space, seating, and riverfront views within Hudson River Park.
  • B. Pier 68
    Pier 68 is a public recreational pier and park on Philadelphia’s Delaware River waterfront, known for its fishing spots, river views, and landscaped green space.
  • C. Pier 45
    Pier 45 is a popular recreational pier in Manhattan’s Greenwich Village, known for its lawns, waterfront views, and role as a gathering spot along the Hudson River.
  • D. Pier 8
    Pier 8 is a section of Brooklyn Bridge Park along the Brooklyn waterfront, featuring recreational public space and views of New York Harbor.
  • E. 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.
  • F. None of above. chosen

Provenance (5 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_69ad8b2298908190a7cb4e9bdbf064d0 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9b2e03c88190b4e2f01f07c9303a completed March 8, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24b160dc08190950beca1a690243b completed March 12, 2026, 5:11 a.m.
NEDg Description generation batch_69b24c5154008190aaaf07333de85370 completed March 12, 2026, 5:17 a.m.
NED2 Entity disambiguation (via description) batch_69b24cf888288190b02782467c932862 completed March 12, 2026, 5:19 a.m.
Created at: March 8, 2026, 3:01 p.m.