Triple

T885424
Position Surface form Disambiguated ID Type / Status
Subject Shasta County E19118 entity
Predicate borderedBy P224 FINISHED
Object Trinity County E152404 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: Trinity County | Statement: [Shasta County, borderedBy, Trinity County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trinity County
Context triple: [Shasta County, borderedBy, Trinity County]
  • A. Trinity County chosen
    Trinity County is a sparsely populated, mountainous county in northwestern California known for its forests, rivers, and outdoor recreation.
  • B. McIntosh County
    McIntosh County is a coastal county in southeastern Georgia known for its marshlands, historic communities, and location along the Atlantic Intracoastal Waterway.
  • C. Crisp County
    Crisp County is a rural county in south-central Georgia known for its agriculture and its county seat, Cordele.
  • D. Peach County
    Peach County is a county in central Georgia known for its agricultural production, especially peaches, and its location within the Macon metropolitan area.
  • E. Bleckley County
    Bleckley County is a rural county in central Georgia known for its agricultural landscape and small-town communities.
  • 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_69a4939c32488190a7ccd41cf0abb22b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ace5e15c81908cc2e648c9cd52f2 completed March 1, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69acd46627dc81908565f4f93cd35012 completed March 8, 2026, 1:44 a.m.
Created at: March 1, 2026, 7:39 p.m.