Triple

T11622988
Position Surface form Disambiguated ID Type / Status
Subject Hall County E276186 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: [Hall County, borders, White County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: White County
Context triple: [Hall 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_69d6aafa51148190ab84940694c00235 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a122a3708190ab6513dad4c4fde7 completed April 10, 2026, 7:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef82a205f08190b1c0e856fdeece11 completed April 27, 2026, 3:37 p.m.
Created at: April 8, 2026, 9:39 p.m.