Triple

T16929154
Position Surface form Disambiguated ID Type / Status
Subject California State Route 33 E410656 entity
Predicate passesThrough P225 FINISHED
Object Colusa County E124422 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: Colusa County | Statement: [California State Route 33, passesThrough, Colusa County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Colusa County
Context triple: [California State Route 33, passesThrough, Colusa County]
  • A. Colusa County chosen
    Colusa County is a rural county in California’s Sacramento Valley known for its agricultural economy and small, historic communities.
  • B. Treasure County
    Treasure County is a sparsely populated rural county in south-central Montana known for its agricultural landscape along the Yellowstone River.
  • C. Gem County
    Gem County is a county in southwestern Idaho that forms part of the Boise metropolitan area.
  • D. Lewis and Clark County
    Lewis and Clark County is a county in west-central Montana, United States, known for encompassing the state capital city of Helena.
  • E. Fillmore County
    Fillmore County is a rural county in southeastern Minnesota known for its rolling farmland, small towns, and karst landscapes with caves and sinkholes.
  • 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_69d886c886688190967be07322597ac9 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3cf23873c8190bdc9121d6c3850e2 completed April 18, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfdb6b608190af910e225d942d37 completed May 10, 2026, 6:35 p.m.
Created at: April 10, 2026, 5:30 a.m.