Triple

T893704
Position Surface form Disambiguated ID Type / Status
Subject Butte County E19295 entity
Predicate contains P35 FINISHED
Object City of Oroville E107124 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: City of Oroville | Statement: [Butte County, contains, City of Oroville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Oroville
Context triple: [Butte County, contains, City of Oroville]
  • A. Oroville chosen
    Oroville is a small city in Northern California known for its proximity to the Oroville Dam and Lake Oroville recreation area.
  • B. King City, Oregon
    King City, Oregon is a small, primarily residential city in the Portland metropolitan area known for its planned retirement community origins.
  • C. Redding
    Redding is a mid-sized city in Northern California known as a regional hub for outdoor recreation, with access to Shasta Lake, the Sacramento River, and nearby national forests.
  • D. Hawthorne, California
    Hawthorne, California is a city in southwestern Los Angeles County known for hosting major aerospace and technology companies, including SpaceX’s headquarters.
  • E. Merced
    Merced is a city in California’s San Joaquin Valley known as a gateway to Yosemite National Park and home to the University of California, Merced.
  • 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_69a4939d37188190848be3d426ebc9ae completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ad212cd8819091eb1b7d606f5afd completed March 1, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7cf5824608190beb2c934d4986219 completed March 4, 2026, 6:21 a.m.
Created at: March 1, 2026, 7:39 p.m.