Triple

T54647
Position Surface form Disambiguated ID Type / Status
Subject Multnomah County E1076 entity
Predicate hasPort P35 FINISHED
Object Port of Portland E9936 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: Port of Portland | Statement: [Multnomah County, hasPort, Port of Portland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Portland
Context triple: [Multnomah County, hasPort, Port of Portland]
  • A. Port of Portland chosen
    The Port of Portland is a major Pacific Northwest seaport and transportation hub in Oregon that handles international maritime trade, cargo, and regional logistics.
  • B. Port of Tacoma
    The Port of Tacoma is a major deep-water seaport in Washington State that serves as a key hub for international container shipping and trade in the Pacific Northwest.
  • C. Port of Seattle
    The Port of Seattle is a major Pacific Northwest seaport and aviation hub that manages cargo and cruise terminals as well as Seattle–Tacoma International Airport.
  • D. Port of Boston
    The Port of Boston is a major New England seaport and transportation hub handling cargo, cruise ships, and maritime commerce for the Boston metropolitan area.
  • E. Yaquina Bay
    Yaquina Bay is a coastal estuary on the central Oregon coast known for its rich marine ecosystems, fisheries, and role as a hub for marine research and recreation.
  • 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_69a248adc5b48190aa8db9fb092fb28a completed Feb. 28, 2026, 1:45 a.m.
NER Named-entity recognition batch_69a24b06c5488190afb5429a7999e3f3 completed Feb. 28, 2026, 1:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2981ccdc0819093346109c126ea96 completed Feb. 28, 2026, 7:24 a.m.
Created at: Feb. 28, 2026, 1:50 a.m.