Triple

T1496013
Position Surface form Disambiguated ID Type / Status
Subject Nye County E29687 entity
Predicate borderedBy P224 FINISHED
Object Lincoln County E29801 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: Lincoln County | Statement: [Nye County, borderedBy, Lincoln County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lincoln County
Context triple: [Nye County, borderedBy, Lincoln County]
  • A. Lincoln County
    Lincoln County is a county in North Carolina that forms part of the greater Charlotte metropolitan region.
  • B. Lincoln County chosen
    Lincoln County is a sparsely populated rural county in southeastern Nevada known for its vast desert landscapes, public lands, and small ranching communities.
  • C. Marshall County
    Marshall County is a county in northern Alabama known for its scenic location around Lake Guntersville and its mix of small towns and rural communities.
  • D. Dickinson County
    Dickinson County is a county in central Kansas known for including the city of Abilene, a historic cattle town and the boyhood home of President Dwight D. Eisenhower.
  • E. Mason County
    Mason County is a county in western Washington State known for its forests, waterways, and location along the southern reaches of Puget Sound.
  • 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_69a498dba1d8819093b46a3a8d2485f1 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c6ec70c48190a94f6e1002848eae completed March 1, 2026, 11:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69afaf0adcd88190a2627ae97157884e completed March 10, 2026, 5:41 a.m.
Created at: March 1, 2026, 8:12 p.m.