Triple

T19499766
Position Surface form Disambiguated ID Type / Status
Subject Decatur, Georgia E487870 entity
Predicate hasLandmark P105 FINISHED
Object Decatur Square E839629 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: Decatur Square | Statement: [Decatur, Georgia, hasLandmark, Decatur Square]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Decatur Square
Context triple: [Decatur, Georgia, hasLandmark, Decatur Square]
  • A. Decatur Square chosen
    Decatur Square is the historic central plaza and social hub of downtown Decatur, Georgia, known for its restaurants, shops, public events, and community gatherings.
  • B. Crawford Square
    Crawford Square is one of Savannah, Georgia’s historic public squares, known for its preserved 19th-century character and role in the city’s distinctive urban plan.
  • C. World Square
    World Square is a themed area within the Window of the World park in Shenzhen, China, featuring iconic global landmarks and cultural displays in miniature form.
  • D. World Square
    World Square is a large mixed-use retail, dining, and commercial complex in central Sydney, Australia.
  • E. Marietta Square
    Marietta Square is a historic downtown park and commercial district in Marietta, Georgia, known for its shops, restaurants, events, and community gatherings.
  • 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_69d8e8d9d1c88190b01cd78b8be49384 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6349462108190bb763b4e03bf000d completed April 20, 2026, 2:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0747199f608190ad16737c7a49a089 completed May 15, 2026, 4:17 p.m.
Created at: April 10, 2026, 1:40 p.m.