Triple

T12978115
Position Surface form Disambiguated ID Type / Status
Subject Glenn County E321581 entity
Predicate borderedBy P224 FINISHED
Object Lake County E146448 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: Lake County | Statement: [Glenn County, borderedBy, Lake County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake County
Context triple: [Glenn County, borderedBy, Lake County]
  • A. Lake County chosen
    Lake County is a rural county in Northern California known for Clear Lake, extensive vineyards and wineries, and its mountainous, volcanic landscape.
  • B. Lake County
    Lake County is a county in northwestern Indiana known for its industrial cities, including Gary, and its location along the southern shore of Lake Michigan.
  • C. Lake County
    Lake County is a county in northeastern Minnesota known for its North Shore scenery along Lake Superior and extensive forests and lakes.
  • D. Lake County
    Lake County is a high-altitude county in central Colorado known for encompassing the historic mining city of Leadville and surrounding Rocky Mountain terrain.
  • E. Lake County
    Lake County is a rural county in western Montana known for encompassing much of Flathead Lake and parts of the Flathead Indian Reservation.
  • 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_69d80763bd6c819094437da5b20b01d2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e59a4c88190907d05b8d57dae89 completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8f0315c8190aae5908ba65d5867 completed May 3, 2026, 2:54 a.m.
Created at: April 9, 2026, 8:38 p.m.