Triple

T6111735
Position Surface form Disambiguated ID Type / Status
Subject Everett E136257 entity
Predicate hasPort P35 FINISHED
Object Port of Everett E187956 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 Everett | Statement: [Everett, hasPort, Port of Everett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Everett
Context triple: [Everett, hasPort, Port of Everett]
  • A. Port of Everett chosen
    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.
  • 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 Olympia
    The Port of Olympia is a public port authority and maritime facility in Washington State that supports regional trade, shipping, and economic development.
  • 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_69c0089ea6f88190b349be53e04b4f5f completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05bbbbea88190b889a7c30af1d71a completed March 22, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c13598c54c8190b3701de83005875c completed March 23, 2026, 12:44 p.m.
Created at: March 22, 2026, 4:13 p.m.