Triple

T4368817
Position Surface form Disambiguated ID Type / Status
Subject Dunes City, Oregon E98843 entity
Predicate county P75 FINISHED
Object Lane County E17493 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: Lane County | Statement: [Dunes City, Oregon, county, Lane County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lane County
Context triple: [Dunes City, Oregon, county, Lane County]
  • A. Lane County, Oregon chosen
    Lane County, Oregon is a coastal and inland county in western Oregon that includes the city of Eugene and stretches from the Pacific Ocean to the Cascade Mountains.
  • B. Island County
    Island County is a county in Washington State composed mainly of Whidbey and Camano Islands, known for its coastal scenery and maritime communities in the Puget Sound.
  • C. Linn County
    Linn County is a county in western Oregon known for its timber industry, agriculture, and location in the Willamette Valley.
  • D. Marion County
    Marion County is a rural county in west-central Georgia known for its small communities, agricultural landscape, and location along key east–west transportation routes.
  • E. Marion County
    Marion County is a rural county in northwestern Alabama known for its small towns, forests, and part of the Bankhead National Forest region.
  • 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_69b3454db3708190aeafd814413c4c3d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b352034d3881909ed4b2f9eef5e823 completed March 12, 2026, 11:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5dbd1646c8190b7db5d9a9445633c completed March 14, 2026, 10:06 p.m.
Created at: March 12, 2026, 11:17 p.m.