Triple

T1154098
Position Surface form Disambiguated ID Type / Status
Subject Olympic Mountains E23742 entity
Predicate nearestCity P350 FINISHED
Object Port Angeles E75105 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 Angeles | Statement: [Olympic Mountains, nearestCity, Port Angeles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port Angeles
Context triple: [Olympic Mountains, nearestCity, Port Angeles]
  • A. Port Angeles chosen
    Port Angeles is a coastal city on Washington State’s Olympic Peninsula that serves as a primary gateway to Olympic National Park and the surrounding natural attractions.
  • B. Port Townsend, Washington
    Port Townsend, Washington is a historic Victorian seaport city on the northeastern tip of the Olympic Peninsula known for its preserved 19th-century architecture and maritime heritage.
  • C. Bremerton
    Bremerton is a waterfront city in Washington State known for its naval shipyard and ferry connection to Seattle across Puget Sound.
  • 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. Skagway
    Skagway is a historic Alaskan town known as a gateway to the Klondike Gold Rush region and a popular cruise ship stop in the Inside Passage.
  • 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_69a493f0d32c8190ac74bad3c87f2641 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bc8e9cb481908a528a828b21d497 completed March 1, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad293648d08190a1c15fe677aa7b8c completed March 8, 2026, 7:45 a.m.
Created at: March 1, 2026, 7:44 p.m.