Triple

T20155994
Position Surface form Disambiguated ID Type / Status
Subject Candler County E491566 entity
Predicate bordersOn P224 FINISHED
Object Toombs County NE NERFINISHED

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: Toombs County | Statement: [Candler County, bordersOn, Toombs County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toombs County
Context triple: [Candler County, bordersOn, Toombs County]
  • A. Toombs County chosen
    Toombs County is a rural county in southeastern Georgia known for its agriculture, particularly Vidalia onions, and its county seat, Lyons.
  • B. Burleigh County
    Burleigh County is a county in central North Dakota that includes Bismarck, the state capital and its largest city.
  • C. Banks County
    Banks County is a rural county in northeastern Georgia known for its location within the historic Georgia Gold Belt and its small-town communities.
  • D. Gooding County
    Gooding County is a rural county in Idaho known for its agricultural economy, small communities, and location along the Snake River Plain.
  • E. Leye County
    Leye County is a county-level administrative region under the jurisdiction of Baise City in the Guangxi Zhuang Autonomous Region of southern China, known for its karst landscapes and ethnic diversity.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6265f8f0819080b29c752a574088 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e667e0a0488190a25d92aaf300be4a completed April 20, 2026, 5:52 p.m.
Created at: April 11, 2026, 11:34 p.m.