Triple

T9089145
Position Surface form Disambiguated ID Type / Status
Subject Paulding County E217833 entity
Predicate hasLargestCity P235 FINISHED
Object Dallas, Georgia E777580 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: Dallas, Georgia | Statement: [Paulding County, hasLargestCity, Dallas, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dallas, Georgia
Context triple: [Paulding County, hasLargestCity, Dallas, Georgia]
  • A. Dallas, Georgia chosen
    Dallas, Georgia is a small city in the Atlanta metropolitan area that serves as the governmental and commercial hub of Paulding County.
  • B. Decatur, Georgia
    Decatur, Georgia is a small, historic city in the Atlanta metropolitan area known for its walkable downtown, vibrant arts and dining scene, and progressive community.
  • C. Dublin, Georgia
    Dublin, Georgia is a small city in Laurens County known as a regional hub in central Georgia with a historic downtown and annual St. Patrick’s Festival.
  • D. Omaha, Georgia
    Omaha, Georgia is an unincorporated rural community located in Stewart County in the southwestern part of the U.S. state of Georgia.
  • E. Dunwoody, Georgia
    Dunwoody, Georgia is a suburban city in the Atlanta metropolitan area known for its residential neighborhoods, shopping centers, and business districts.
  • 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_69ca83d8ab5881909d8fddae363b32b1 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc9657d48081909e0ae0f1fa8ff599 completed April 1, 2026, 3:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69d03007ed908190afd34cf3f32312e9 completed April 3, 2026, 9:24 p.m.
Created at: March 30, 2026, 7:14 p.m.