Triple

T3261445
Position Surface form Disambiguated ID Type / Status
Subject Oroville Dam E68419 entity
Predicate impounds P32296 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: [Oroville Dam, impounds, Lake Oroville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Oroville
Context triple: [Oroville Dam, impounds, 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_69ad8590444081909e8107a8aeef3a23 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adafa7fea08190b089b6174fd7cd32 completed March 8, 2026, 5:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28ede248c8190b5a1f9403787361c completed March 12, 2026, 10:01 a.m.
Created at: March 8, 2026, 3:09 p.m.