Triple

T5032797
Position Surface form Disambiguated ID Type / Status
Subject Atlanta urban area E113345 entity
Predicate hasMajorCity P316 FINISHED
Object Lilburn E390857 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: Lilburn | Statement: [Atlanta urban area, hasMajorCity, Lilburn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lilburn
Context triple: [Atlanta urban area, hasMajorCity, Lilburn]
  • A. Lilburn, Georgia chosen
    Lilburn, Georgia is a suburban city in the Atlanta metropolitan area known for its diverse community and family-oriented neighborhoods.
  • B. Cedartown
    Cedartown is a small city in northwestern Georgia known historically for its location within the mineral-rich Georgia Gold Belt and its role as a local industrial and railroad hub.
  • C. Dawsonville
    Dawsonville is a small city in north Georgia known for its gold rush history and strong ties to stock car racing and NASCAR culture.
  • D. Loganville
    Loganville is a suburban city in the Atlanta metropolitan area known for its residential communities and small-town character.
  • E. Coolidge, Georgia
    Coolidge, Georgia is a small rural city located in Thomas County in the southern part of 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_69bd443775e48190a646ffbfc4334723 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd73b4d1708190aa1fa63104555f8a completed March 20, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69bef7eae20c81908e5854f5d66a69b2 completed March 21, 2026, 7:56 p.m.
Created at: March 20, 2026, 1:36 p.m.