Triple

T11803329
Position Surface form Disambiguated ID Type / Status
Subject Diocese of Santa Rosa in California E280681 entity
Predicate territoryIncludes P285 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: [Diocese of Santa Rosa in California, territoryIncludes, Lake County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake County
Context triple: [Diocese of Santa Rosa in California, territoryIncludes, Lake County]
  • A. 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.
  • B. 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.
  • C. Lake County
    Lake County is a county in northeastern Illinois, north of Chicago, known for its suburban communities, forest preserves, and location along Lake Michigan.
  • D. 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.
  • E. Lake County
    Lake County is a county in northeastern Minnesota known for its North Shore scenery along Lake Superior and extensive forests and lakes.
  • 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_69d6ab26aae88190b2489efcb2a24234 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5a5a2048190b68027f622366079 completed April 10, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69f4715720e08190a3bc1b4fc888fe79 completed May 1, 2026, 9:24 a.m.
Created at: April 8, 2026, 9:42 p.m.