Triple

T3294920
Position Surface form Disambiguated ID Type / Status
Subject Lake City, Georgia E69190 entity
Predicate borderedBy P224 FINISHED
Object Morrow, Georgia E68444 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: Morrow, Georgia | Statement: [Lake City, Georgia, borderedBy, Morrow, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Morrow, Georgia
Context triple: [Lake City, Georgia, borderedBy, Morrow, Georgia]
  • A. Morrow, Georgia chosen
    Morrow, Georgia is a small suburban city in the Atlanta metropolitan area known for housing Clayton State University and various retail and commercial centers.
  • B. De Soto, Georgia
    De Soto, Georgia is a small rural city located in southwestern Georgia in the United States.
  • C. St. Marys, Georgia
    St. Marys, Georgia is a historic coastal town in southeastern Georgia known as a gateway to Cumberland Island and the surrounding marshes and waterways.
  • D. Milton, Georgia
    Milton, Georgia is a suburban city in the northern Atlanta metropolitan area known for its affluent residential communities, equestrian estates, and semi-rural character.
  • E. Fairburn, Georgia
    Fairburn, Georgia is a small city in the Atlanta metropolitan area known for its historic downtown and role as a growing suburban community.
  • 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_69ad859e529c8190a404273f53cb487d completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb07661748190bf57469e101c5283 completed March 8, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b33419707881908535eadd65500bee completed March 12, 2026, 9:46 p.m.
Created at: March 8, 2026, 3:10 p.m.