Triple

T4605055
Position Surface form Disambiguated ID Type / Status
Subject Southside of Atlanta metropolitan area E100411 entity
Predicate includesCommunity P8617 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: [Southside of Atlanta metropolitan area, includesCommunity, Morrow, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Morrow, Georgia
Context triple: [Southside of Atlanta metropolitan area, includesCommunity, 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. Metcalfe, Georgia
    Metcalfe, Georgia is a small unincorporated rural community located in Thomas County in the southern part of the state.
  • C. De Soto, Georgia
    De Soto, Georgia is a small rural city located in southwestern Georgia in the United States.
  • D. 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.
  • E. 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.
  • 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_69be034e509c8190b2da7e2eaf2acb48 completed March 21, 2026, 2:32 a.m.
Created at: March 20, 2026, 1:12 p.m.