Triple

T9345087
Position Surface form Disambiguated ID Type / Status
Subject Cedartown E224867 entity
Predicate hasName P744 FINISHED
Object Cedartown E224867 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: Cedartown | Statement: [Cedartown, hasName, Cedartown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cedartown
Context triple: [Cedartown, hasName, Cedartown]
  • A. Cedartown chosen
    Cedartown is a small city in northwestern Georgia known historically for its location within the mineral-rich Georgia Gold Belt and its role as a local industrial and railroad hub.
  • B. Cartersville
    Cartersville is a city in northwestern Georgia known for its historic downtown, museums, and role as a regional commercial and transportation hub.
  • C. Loganville
    Loganville is a suburban city in the Atlanta metropolitan area known for its residential communities and small-town character.
  • D. Dawsonville
    Dawsonville is a small city in north Georgia known for its gold rush history and strong ties to stock car racing and NASCAR culture.
  • E. 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.
  • 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_69ca842993248190a79ab06968994b86 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd4f0ce7b881908714ab526d94fa1d completed April 1, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0e41ccdcc8190b2939716984b2c7b completed April 4, 2026, 10:12 a.m.
Created at: March 30, 2026, 7:41 p.m.