Triple

T2807270
Position Surface form Disambiguated ID Type / Status
Subject Spalding County, Georgia E54082 entity
Predicate countySeat P383 FINISHED
Object Griffin, Georgia E284519 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: Griffin, Georgia | Statement: [Spalding County, Georgia, countySeat, Griffin, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Griffin, Georgia
Context triple: [Spalding County, Georgia, countySeat, Griffin, Georgia]
  • A. Griffin, Georgia chosen
    Griffin, Georgia is a small city in Spalding County known as part of the Atlanta metropolitan area and for its historic downtown and role as a regional commercial center.
  • B. Springfield, Georgia
    Springfield, Georgia is a small city in Effingham County that serves as a residential and community hub within the greater Savannah metropolitan region.
  • C. Bogart, Georgia
    Bogart, Georgia is a small town in northeastern Georgia located near the Athens metropolitan area.
  • D. Grantville, Georgia
    Grantville, Georgia is a small city in west-central Georgia known for its historic downtown and role as a filming location for several movies and television shows.
  • E. Arlington, Georgia
    Arlington, Georgia is a small rural city in the southwestern part of the state known historically for its agricultural economy and tight-knit 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_69ab49dcee188190b5c6eca9ae9e3469 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde2ec2ac8190bd702ad3eafb6aed completed March 7, 2026, 8:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69afce94a8f48190ac8b447f66b7d545 completed March 10, 2026, 7:56 a.m.
Created at: March 6, 2026, 9:59 p.m.