Triple

T686974
Position Surface form Disambiguated ID Type / Status
Subject Meriwether County, Georgia E13304 entity
Predicate contains P35 FINISHED
Object Woodbury, Georgia E12287 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: Woodbury, Georgia | Statement: [Meriwether County, Georgia, contains, Woodbury, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Woodbury, Georgia
Context triple: [Meriwether County, Georgia, contains, Woodbury, Georgia]
  • A. Woodbury, Georgia chosen
    Woodbury, Georgia is a small city in Meriwether County known for its rural character and historic railroad and agricultural roots in west-central Georgia.
  • B. Woolsey, Georgia
    Woolsey, Georgia is a small incorporated town located in Fayette County in the U.S. state of Georgia.
  • C. 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.
  • D. 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.
  • E. Morrow, Georgia
    Morrow, Georgia is a small suburban city in the Atlanta metropolitan area known for housing Clayton State University and various retail and commercial centers.
  • 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_69a4933e0f98819097d22766c49b61b8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a093ac988190bb339616a3ed5adb completed March 1, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7c0036a5081909d5b3a81a9ef3daf completed March 4, 2026, 5:15 a.m.
Created at: March 1, 2026, 7:36 p.m.