Triple

T4605056
Position Surface form Disambiguated ID Type / Status
Subject Southside of Atlanta metropolitan area E100411 entity
Predicate includesCommunity P8617 FINISHED
Object Lovejoy, Georgia E69963 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: Lovejoy, Georgia | Statement: [Southside of Atlanta metropolitan area, includesCommunity, Lovejoy, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lovejoy, Georgia
Context triple: [Southside of Atlanta metropolitan area, includesCommunity, Lovejoy, Georgia]
  • A. Lovejoy, Georgia chosen
    Lovejoy, Georgia is a small city in the southern Atlanta metropolitan area known for its Civil War history and suburban residential character.
  • B. Whigham, Georgia
    Whigham, Georgia is a small rural city in the southwestern part of the state known for its tight-knit community and agricultural surroundings.
  • C. Leary, Georgia
    Leary, Georgia is a small rural city located in southwestern Georgia within Calhoun County.
  • D. Zebulon, Georgia
    Zebulon, Georgia is a small historic city in central Georgia that serves as the administrative and cultural hub of Pike County.
  • E. Woolsey, Georgia
    Woolsey, Georgia is a small incorporated town located in Fayette County in the U.S. state of Georgia.
  • 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_69bd43cce1e08190a07d53af6a9b6c24 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5999f9c88190a43309573df61159 completed March 20, 2026, 2:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69be1024cfec819089bd3a23325c9c13 completed March 21, 2026, 3:27 a.m.
Created at: March 20, 2026, 1:12 p.m.