Triple

T22586411
Position Surface form Disambiguated ID Type / Status
Subject SR 509 E564806 entity
Predicate connectsCity P4245 FINISHED
Object Des Moines, Washington E364901 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: Des Moines, Washington | Statement: [SR 509, connectsCity, Des Moines, Washington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Des Moines, Washington
Context triple: [SR 509, connectsCity, Des Moines, Washington]
  • A. Des Moines, Washington chosen
    Des Moines, Washington is a small waterfront city in King County on Puget Sound, located south of Seattle and near Seattle–Tacoma International Airport.
  • B. Hamilton, Washington
    Hamilton, Washington is a small rural community in Skagit County known for its location along the Skagit River and its history of frequent flooding.
  • C. Springfield, Washington
    Springfield, Washington is a small unincorporated community in Skagit County in the U.S. state of Washington.
  • D. Davenport, Washington
    Davenport, Washington is a small rural city in eastern Washington that serves as the administrative and commercial hub of Lincoln County.
  • E. Monroe, Washington
    Monroe, Washington is a small city in Snohomish County known for its location in the Skykomish River Valley, its historic downtown, and proximity to outdoor recreation in the Cascade foothills.
  • 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_69e245836014819091b91ed3074742a3 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1615d1fe081908079f777cdab12a2 completed April 29, 2026, 1:39 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b585066a08190948ac977886f40b5 completed May 18, 2026, 6:20 p.m.
Created at: April 17, 2026, 2:46 p.m.