Triple

T5032759
Position Surface form Disambiguated ID Type / Status
Subject Atlanta urban area E113345 entity
Predicate hasMajorCity P316 FINISHED
Object Marietta E172623 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: Marietta | Statement: [Atlanta urban area, hasMajorCity, Marietta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marietta
Context triple: [Atlanta urban area, hasMajorCity, Marietta]
  • A. Marietta, Georgia chosen
    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.
  • B. Macon
    Macon is a surname of English and French origin borne by various notable individuals, including American statesman Nathaniel Macon.
  • C. Macon
    Macon is a small town located in Warren County, North Carolina, known for its rural character and proximity to Lake Gaston.
  • 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. Marietta, Ohio
    Marietta, Ohio is a historic city in southeastern Ohio known as the first permanent settlement of the Northwest Territory, located along the Ohio and Muskingum Rivers.
  • 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_69bd443775e48190a646ffbfc4334723 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd73b4d1708190aa1fa63104555f8a completed March 20, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69bea477efec8190a84a0186f5517a43 completed March 21, 2026, 2 p.m.
Created at: March 20, 2026, 1:36 p.m.