Triple

T7806049
Position Surface form Disambiguated ID Type / Status
Subject SEA E180553 entity
Predicate operatedBy P86 FINISHED
Object Port of Seattle E8086 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 Seattle | Statement: [SEA, operatedBy, Port of Seattle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Seattle
Context triple: [SEA, operatedBy, Port of Seattle]
  • A. Port of Seattle chosen
    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.
  • 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 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.
  • 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_69ca827e50cc8190a92a733577184938 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69caf63838b88190a085756db9ca25c4 completed March 30, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb14439c8081908331caf450462a0e completed March 31, 2026, 12:24 a.m.
Created at: March 30, 2026, 4:35 p.m.