Triple

T909913
Position Surface form Disambiguated ID Type / Status
Subject State Route 99 E19634 entity
Predicate connectsCity P4245 FINISHED
Object Marysville E105036 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: Marysville | Statement: [State Route 99, connectsCity, Marysville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marysville
Context triple: [State Route 99, connectsCity, Marysville]
  • A. Marysville chosen
    Marysville is a suburban city in Snohomish County, Washington, known for its rapid growth and proximity to Seattle.
  • B. Medina, Washington
    Medina, Washington is an affluent suburban city on the eastern shore of Lake Washington, best known as the home of Bill Gates and other prominent tech figures.
  • C. Groveland
    Groveland is a small unincorporated community in California’s Sierra Nevada foothills, known as a gateway town for visitors traveling to Yosemite National Park.
  • D. Ferndale
    Ferndale is a former coal-mining town and community located in the Rhondda Fach valley in south Wales.
  • E. Bay City
    Bay City is a small industrial and port city in east-central Michigan located near Saginaw Bay on Lake Huron.
  • 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_69a4939f91a08190ba68c2c81eab90fe completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b2dca5208190bc9f17cd9dd6a98f completed March 1, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac119519488190a60aca9bb425f800 completed March 7, 2026, 11:52 a.m.
Created at: March 1, 2026, 7:39 p.m.