Triple

T15563628
Position Surface form Disambiguated ID Type / Status
Subject Georgia State Route 92 E371058 entity
Predicate passesThrough P225 FINISHED
Object Spalding County E18424 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: Spalding County | Statement: [Georgia State Route 92, passesThrough, Spalding County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spalding County
Context triple: [Georgia State Route 92, passesThrough, Spalding County]
  • A. Spalding County chosen
    Spalding County is a county in west-central Georgia, United States, known for its seat, the city of Griffin, and its location within the Atlanta metropolitan area.
  • B. Jones County
    Jones County is a county in central Georgia, United States, known for its rural character and proximity to the city of Macon.
  • C. Jones County
    Jones County is a rural county in the U.S. state of Texas, known for its agricultural economy and small communities near the Abilene region.
  • D. Jones County
    Jones County is a county in southeastern Mississippi known for its seat in Laurel and its historical role in the state's timber and agricultural industries.
  • E. Jones County
    Jones County is a rural county in eastern North Carolina known for its extensive forests, wetlands, and outdoor recreation areas.
  • 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ddc66448190948280fb0c8d390c completed April 16, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff79031f88190bf129582deeed3b9 completed May 10, 2026, 3:12 a.m.
Created at: April 10, 2026, 4:10 a.m.