Triple

T2267030
Position Surface form Disambiguated ID Type / Status
Subject Olympia E50168 entity
Predicate hasPort P35 FINISHED
Object Port of Olympia E166495 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 Olympia | Statement: [Olympia, hasPort, Port of Olympia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Olympia
Context triple: [Olympia, hasPort, Port of Olympia]
  • A. Port of Olympia chosen
    The Port of Olympia is a public port authority and maritime facility in Washington State that supports regional trade, shipping, and economic development.
  • 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 Everett
    The Port of Everett is a deep-water commercial seaport and maritime hub on Puget Sound that supports cargo shipping, naval operations, and waterfront recreation for the Everett, Washington region.
  • E. Port of Bremerton
    The Port of Bremerton is a public port district in Kitsap County, Washington, that operates marinas, an airport, and industrial facilities to support regional transportation and economic development.
  • 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_69a88b01e0048190ba96431b5f990ba9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc1baa0948190b07ffc347a4f714e completed March 7, 2026, 6:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae960554108190a202855ad0d3caaa completed March 9, 2026, 9:42 a.m.
Created at: March 4, 2026, 7:48 p.m.