Triple

T1466352
Position Surface form Disambiguated ID Type / Status
Subject King County E27030 entity
Predicate includesCity P3207 FINISHED
Object Shoreline E102669 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: Shoreline | Statement: [King County, includesCity, Shoreline]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shoreline
Context triple: [King County, includesCity, Shoreline]
  • A. Shoreline chosen
    Shoreline is a suburban city in Washington State located just north of Seattle, known for its residential neighborhoods, parks, and access to Puget Sound.
  • B. Clearwater
    Clearwater is a coastal city in Florida known for its white-sand beaches, tourism, and location on the Gulf of Mexico within the greater Tampa Bay metropolitan area.
  • C. Fairwater
    Fairwater is a residential neighbourhood within the town of Cwmbran in South Wales.
  • D. The Wash
    The Wash is a large square-mouthed bay and estuary on the east coast of England, where several rivers meet the North Sea and which forms a natural boundary between Lincolnshire and Norfolk.
  • E. Lakeside
    Lakeside is an upscale seafood restaurant at the Wynn Las Vegas known for its lakefront views and fine dining experience.
  • 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_69a496d25d6881909dbd84f86d763992 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c5bb4e288190997c7e8985e9a2bd completed March 1, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad0e7e7f848190a8abcb73e89e8e34 completed March 8, 2026, 5:51 a.m.
Created at: March 1, 2026, 8:01 p.m.