Triple

T22070318
Position Surface form Disambiguated ID Type / Status
Subject U.S. Route 19 in Georgia E545388 entity
Predicate passesThrough P225 FINISHED
Object Thomasville E138582 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: Thomasville | Statement: [U.S. Route 19 in Georgia, passesThrough, Thomasville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomasville
Context triple: [U.S. Route 19 in Georgia, passesThrough, Thomasville]
  • A. Thomasville chosen
    Thomasville is a small city in southern Georgia known for its historic downtown, Victorian architecture, and annual Rose Show and Festival.
  • B. Hainesville
    Hainesville is a small unincorporated community located within Berkeley County in the U.S. state of West Virginia.
  • C. Williamston
    Williamston is a small town in Anderson County, South Carolina, known for its historic mineral spring park and traditional Southern community character.
  • D. Villa Rica
    Villa Rica is a small city in western Georgia historically known as one of the earliest gold-mining boom towns in the United States.
  • E. Villa Rica
    Villa Rica is a town in Peru’s Pasco Region, known for its coffee production and Andean highland setting.
  • 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_69e11e344dfc81909b1d88a7221329c7 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128881af481909b28cda2d343f4e3 completed April 28, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a80b378888190b7d26cd57a6eec23 completed May 18, 2026, 3 a.m.
Created at: April 16, 2026, 8:28 p.m.