Triple

T12978123
Position Surface form Disambiguated ID Type / Status
Subject Glenn County E321581 entity
Predicate traversedBy P225 FINISHED
Object State Route 45 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: State Route 45 | Statement: [Glenn County, traversedBy, State Route 45]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: State Route 45
Context triple: [Glenn County, traversedBy, State Route 45]
  • A. State Route 45 chosen
    State Route 45 is a north–south state highway in California’s Sacramento Valley that runs through rural agricultural communities, including Colusa County.
  • B. State Route 47
    State Route 47 is a California state highway serving the Port of Los Angeles area and connecting local surface streets to major freeways in the Los Angeles region.
  • C. State Route 47
    State Route 47 is an east–west state highway in Ohio that passes through several communities in the western part of the state.
  • D. State Route 43
    State Route 43 is a north–south state highway in California’s San Joaquin Valley that connects several agricultural communities between Bakersfield and Selma.
  • E. State Route 41
    State Route 41 is a major north–south California highway that connects the Central Valley city of Fresno with Yosemite National Park and the Central Coast.
  • 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_69d80763bd6c819094437da5b20b01d2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e59a4c88190907d05b8d57dae89 completed April 10, 2026, 10:48 p.m.
Created at: April 9, 2026, 8:38 p.m.