Triple

T7183125
Position Surface form Disambiguated ID Type / Status
Subject Iowa Highway 75 E167498 entity
Predicate passesThroughCounty P4247 FINISHED
Object Lyon County E618630 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: Lyon County | Statement: [Iowa Highway 75, passesThroughCounty, Lyon County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lyon County
Context triple: [Iowa Highway 75, passesThroughCounty, Lyon County]
  • A. Lyon County
    Lyon County is a largely rural county in western Nevada known for its historic mining towns and growing residential communities.
  • B. Lyon County chosen
    Lyon County is a county in east-central Kansas, United States, known for its location within the tallgrass prairie region of the Flint Hills.
  • C. Sherman County
    Sherman County is a sparsely populated rural county in the far northern part of the Texas Panhandle, known for its agriculture and wide-open High Plains landscape.
  • D. Logan County
    Logan County is a largely rural, coal-mining region in southern West Virginia known for its Appalachian landscape and history.
  • E. Logan County
    Logan County is a largely rural county in northeastern Colorado known for its agricultural economy and small communities such as its county seat, Sterling.
  • 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_69c6888a7c548190a3d39b52a393080f completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e8bd52648190a22412300254e5d4 completed March 27, 2026, 8:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7db0401f481909cc09c2b8c23cd24 completed March 28, 2026, 1:43 p.m.
Created at: March 27, 2026, 2:49 p.m.