Triple

T5955362
Position Surface form Disambiguated ID Type / Status
Subject Georgia State Route 38 E132499 entity
Predicate connectsCity P4245 FINISHED
Object Waycross E123066 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: Waycross | Statement: [Georgia State Route 38, connectsCity, Waycross]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waycross
Context triple: [Georgia State Route 38, connectsCity, Waycross]
  • A. Waycross, Georgia chosen
    Waycross, Georgia is a small city in southeastern Georgia known as a regional railroad hub and gateway to the Okefenokee Swamp.
  • B. Saraland
    Saraland is a suburban city in Mobile County, Alabama, known as part of the Mobile metropolitan area and for its residential communities and local industry.
  • C. Tuskaloosa
    Tuskaloosa was a paramount chief of the Mississippian culture in the 16th century, known for leading Native American resistance against Spanish explorer Hernando de Soto in what is now the southeastern United States.
  • D. Ellijay
    Ellijay is a small mountain town in northern Georgia known for its apple orchards, outdoor recreation, and historic role in the region’s gold-mining era.
  • E. Opelika
    Opelika is a city in eastern Alabama known for its proximity to Auburn and its role as a regional center for industry and commerce.
  • 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_69c0086b05cc8190a8f36a96927a525c completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c039c054a48190ace32250c43e29b4 completed March 22, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11ccdec948190a0792c351a6867b7 completed March 23, 2026, 10:58 a.m.
Created at: March 22, 2026, 4:02 p.m.