Triple

T13764207
Position Surface form Disambiguated ID Type / Status
Subject Habersham County E330693 entity
Predicate borders P224 FINISHED
Object White County E339064 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: White County | Statement: [Habersham County, borders, White County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: White County
Context triple: [Habersham County, borders, White County]
  • A. White County chosen
    White County is a county in northeastern Georgia known for its mountainous terrain, outdoor recreation, and proximity to historic gold-mining areas.
  • B. Waller County
    Waller County is a county in southeastern Texas that forms part of the greater Houston metropolitan region.
  • C. Logan County
    Logan County is a largely rural, coal-mining region in southern West Virginia known for its Appalachian landscape and history.
  • D. 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.
  • E. Logan County
    Logan County is a county in central Oklahoma known for its historic role in the Land Run of 1889 and as the location of the former territorial capital, Guthrie.
  • 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de022690ac8190bd5410ecc659a2a7 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69fd9498f8848190a170a3d41c9e3a76 completed May 8, 2026, 7:45 a.m.
Created at: April 9, 2026, 10:10 p.m.