Triple

T3838032
Position Surface form Disambiguated ID Type / Status
Subject River Scout E91182 entity
Predicate locatedInCity P40 FINISHED
Object Atlanta E2602 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: Atlanta | Statement: [River Scout, locatedInCity, Atlanta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Atlanta
Context triple: [River Scout, locatedInCity, Atlanta]
  • A. Atlanta chosen
    Atlanta is the capital and largest city of the U.S. state of Georgia, known as a major cultural, economic, and transportation hub of the southeastern United States.
  • B. Macon
    Macon is a small town located in Warren County, North Carolina, known for its rural character and proximity to Lake Gaston.
  • C. Macon
    Macon is a surname of English and French origin borne by various notable individuals, including American statesman Nathaniel Macon.
  • D. Savannah metropolitan area
    The Savannah metropolitan area is a coastal urban region in southeastern Georgia centered on the historic port city of Savannah, known for its tourism, logistics, and cultural heritage.
  • E. Athens, Georgia
    Athens, Georgia is a vibrant college town best known as the home of the University of Georgia and a historic hub for alternative rock and indie music.
  • 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_69aed960b538819096561c8ed448dec9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeeb9d11f081909fc51e84657ec7f1 completed March 9, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b503f107148190bf7ce74eb7dee9b2 completed March 14, 2026, 6:45 a.m.
Created at: March 9, 2026, 3:18 p.m.