Triple

T8864117
Position Surface form Disambiguated ID Type / Status
Subject Sutter County E210969 entity
Predicate borders P224 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: [Sutter County, borders, Colusa County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Colusa County
Context triple: [Sutter County, borders, 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. Gem County
    Gem County is a county in southwestern Idaho that forms part of the Boise metropolitan area.
  • C. 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.
  • D. Elgin County
    Elgin County is a predominantly rural county in southwestern Ontario, Canada, known for its agricultural communities, Lake Erie shoreline, and the city of St. Thomas as its largest urban center.
  • E. Harney County
    Harney County is a sparsely populated county in southeastern Oregon known for its vast high desert landscapes, ranching, and wildlife refuges.
  • 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_69ca838bbddc8190ab546d737e5d350f completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc610416b48190a26f0c457089ffca completed April 1, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa0caccd88190b6464f53d0239e47 completed April 3, 2026, 11:13 a.m.
Created at: March 30, 2026, 6:51 p.m.