Triple

T19229623
Position Surface form Disambiguated ID Type / Status
Subject Toombs County Courthouse E480833 entity
Predicate county P75 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: [Toombs County Courthouse, county, Toombs County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toombs County
Context triple: [Toombs County Courthouse, county, 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_69d8e8ccb8f48190ad420098e74fb1db completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fa9be0d08190afe6040e0cf9c737 completed April 20, 2026, 10:06 a.m.
Created at: April 10, 2026, 1:25 p.m.