Triple

T6758279
Position Surface form Disambiguated ID Type / Status
Subject Olympia Regional Airport E154519 entity
Predicate operator P179 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 Regional Airport, operator, Port of Olympia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Olympia
Context triple: [Olympia Regional Airport, operator, 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. Gig Harbor
    Gig Harbor is a picturesque waterfront city in western Washington known for its maritime heritage, marinas, and views of Mount Rainier.
  • D. 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.
  • E. Port of Anacortes
    The Port of Anacortes is a public port district and maritime hub in Anacortes, Washington, providing commercial, industrial, and recreational waterfront facilities on Fidalgo Bay.
  • 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_69c6880fd5808190be684854081e27dd completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d1f90b6c8190b4a17a23aa9ba0fb completed March 27, 2026, 6:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71a78feb8819084314c2ae043d289 completed March 28, 2026, 12:02 a.m.
Created at: March 27, 2026, 2:11 p.m.