Triple

T7247376
Position Surface form Disambiguated ID Type / Status
Subject Oxford Campus E156508 entity
Predicate locatedIn P40 FINISHED
Object Oxford, Georgia E213855 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: Oxford, Georgia | Statement: [Oxford Campus, locatedIn, Oxford, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oxford, Georgia
Context triple: [Oxford Campus, locatedIn, Oxford, Georgia]
  • A. Oxford, Georgia chosen
    Oxford, Georgia is a small historic city in Newton County best known as the original home of Emory College, the institution that later became Emory University.
  • B. Oglethorpe, Georgia
    Oglethorpe, Georgia is a small city in central Georgia that serves as the administrative and commercial hub of Macon County.
  • C. Fair Oaks, Georgia
    Fair Oaks, Georgia is a small unincorporated community and census-designated place in the Atlanta metropolitan area.
  • D. Oakwood, Georgia
    Oakwood, Georgia is a small city in Hall County that forms part of the Gainesville metropolitan area in the northern region of the state.
  • E. Springfield, Georgia
    Springfield, Georgia is a small city in Effingham County that serves as a residential and community hub within the greater Savannah metropolitan region.
  • 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_69c68827b5e481908dc05e145b2c92d4 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea749fb08190841c0aa8c5bd0727 completed March 27, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7d3987a888190ab19915b39dbf7eb completed March 28, 2026, 1:11 p.m.
Created at: March 27, 2026, 2:56 p.m.