Triple

T5852217
Position Surface form Disambiguated ID Type / Status
Subject Feather River E130061 entity
Predicate reservoir P11309 FINISHED
Object Lake Oroville E68629 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 Oroville | Statement: [Feather River, reservoir, Lake Oroville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Oroville
Context triple: [Feather River, reservoir, Lake Oroville]
  • A. Lake Oroville chosen
    Lake Oroville is a large man-made reservoir in Northern California, created by the Oroville Dam on the Feather River, that serves as a major source of water storage, flood control, and recreation.
  • B. Shasta Lake
    Shasta Lake is a large reservoir in Northern California known for its extensive shoreline, houseboating, and proximity to Mount Shasta.
  • C. Yuba Reservoir
    Yuba Reservoir is a man-made lake in central Utah popular for boating, fishing, and camping.
  • D. Folsom Lake
    Folsom Lake is a large man-made reservoir in Northern California known for recreation, water storage, and flood control near the Sacramento area.
  • E. Oroville
    Oroville is a small city in Northern California known for its proximity to the Oroville Dam and Lake Oroville recreation area.
  • 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_69c0084de39081909eb34e6bed74215a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0355038008190bf38980349b533e2 completed March 22, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b1007bbc81908963d3d14c9210c5 completed March 23, 2026, 3:18 a.m.
Created at: March 22, 2026, 3:55 p.m.