Triple

T4337247
Position Surface form Disambiguated ID Type / Status
Subject Glide, Oregon E97492 entity
Predicate hasCounty P285 FINISHED
Object Douglas County E431251 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: Douglas County | Statement: [Glide, Oregon, hasCounty, Douglas County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Douglas County
Context triple: [Glide, Oregon, hasCounty, Douglas County]
  • A. Douglas County chosen
    Douglas County is a county in southwestern Oregon known for its timber industry, scenic landscapes, and the city of Roseburg as its county seat.
  • B. Douglas County
    Douglas County is a county in western Nevada known for encompassing part of the Lake Tahoe region and serving as a key residential and recreational area near Carson City and the California border.
  • C. Douglas County
    Douglas County is a county in the U.S. state of Georgia, located just west of Atlanta and known for its mix of suburban communities, natural attractions, and transportation corridors.
  • D. Douglas County
    Douglas County is a county in central Washington State known for its agricultural economy and location along the Columbia River.
  • E. Carson County
    Carson County is a rural county in the Texas Panhandle known for its agricultural economy and small-town communities.
  • 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_69b3454662a481908fbcd0bbfaa3a0a4 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3516c621881909f094d040d4805e9 completed March 12, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b6373b66a481909f66ea8b8659d54a completed March 15, 2026, 4:36 a.m.
Created at: March 12, 2026, 11:14 p.m.