Triple

T21296713
Position Surface form Disambiguated ID Type / Status
Subject Almanor Dam E524942 entity
Predicate reservoirName P13043 FINISHED
Object Lake Almanor NE NERFINISHED

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 Almanor | Statement: [Almanor Dam, reservoirName, Lake Almanor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Almanor
Context triple: [Almanor Dam, reservoirName, Lake Almanor]
  • A. Lake Almanor chosen
    Lake Almanor is a large, man-made reservoir in Northern California known for its scenic mountain setting and popular fishing, boating, and camping opportunities.
  • B. Mission Lake
    Mission Lake is a scenic prairie lake in southern Saskatchewan, Canada, known as one of the Fishing Lakes in the Qu’Appelle Valley.
  • C. Mission Lake
    Mission Lake is a small inland lake located within the city of Plymouth in the U.S. state of Minnesota.
  • D. Lake Miwok
    Lake Miwok is an extinct Native American language formerly spoken by the Miwok people around Clear Lake in Northern California.
  • E. Lake Siskiyou
    Lake Siskiyou is a scenic reservoir near Mount Shasta in Northern California, popular for fishing, boating, swimming, and views of the surrounding mountains.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b517e6748190850d6f6ddf323d69 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7385968308190bc9fe5c2bd4598e6 completed April 21, 2026, 8:42 a.m.
Created at: April 16, 2026, 4:04 p.m.