Triple

T23316449
Position Surface form Disambiguated ID Type / Status
Subject Valley, Alabama E590719 entity
Predicate locatedNear P294 FINISHED
Object LaGrange, Georgia NE NERFINISHED

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: LaGrange, Georgia | Statement: [Valley, Alabama, locatedNear, LaGrange, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LaGrange, Georgia
Context triple: [Valley, Alabama, locatedNear, LaGrange, Georgia]
  • A. LaGrange
    LaGrange is a town in Dutchess County, New York, known as a suburban community in the Hudson Valley region.
  • B. LaGrange chosen
    LaGrange is a small city in western Georgia known for its historic downtown, proximity to West Point Lake, and role as an economic and cultural center for the surrounding region.
  • C. LaGrange
    LaGrange is a small village in northeastern Ohio, United States, known for its residential community and local parks.
  • D. Colquitt, Georgia
    Colquitt, Georgia is a small city in southwest Georgia known as the cultural and economic hub of Miller County.
  • E. Oglethorpe, Georgia
    Oglethorpe, Georgia is a small city in central Georgia that serves as the administrative and commercial hub of Macon County.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e25d1d32188190948eb76909d1dcc3 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f197816024819086c547ba89f84286 completed April 29, 2026, 5:30 a.m.
Created at: April 17, 2026, 5:06 p.m.