Triple

T15558917
Position Surface form Disambiguated ID Type / Status
Subject Kennesaw State University E370944 entity
Predicate city P40 FINISHED
Object Kennesaw E168502 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: Kennesaw | Statement: [Kennesaw State University, city, Kennesaw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kennesaw
Context triple: [Kennesaw State University, city, Kennesaw]
  • A. Kennesaw, Georgia chosen
    Kennesaw, Georgia is a suburban city in Cobb County northwest of Atlanta, known for its Civil War history, including the nearby Kennesaw Mountain National Battlefield Park.
  • B. Marietta
    Marietta is a feminine given name, often considered a diminutive or variant of names like Maria or Marita, used in various European and English-speaking cultures.
  • C. Colquitt, Georgia
    Colquitt, Georgia is a small city in southwest Georgia known as the cultural and economic hub of Miller County.
  • D. Marietta, Georgia
    Marietta, Georgia is a historic city in the Atlanta metropolitan area known for its Civil War heritage, vibrant downtown square, and role as a regional economic and cultural center.
  • E. Piedmont (Georgia)
    Piedmont (Georgia) is a major plateau region in the central part of the state characterized by rolling hills, red clay soils, and a transition between the Appalachian Mountains and the Coastal Plain.
  • 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_69e04dda3ab88190ab383333ce69fe8f completed April 16, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffa9300c5481909b719b65dcf548bf completed May 9, 2026, 9:37 p.m.
Created at: April 10, 2026, 4:09 a.m.