Triple

T10672520
Position Surface form Disambiguated ID Type / Status
Subject Old Morrison E251526 entity
Predicate city P40 FINISHED
Object Lexington E385049 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: Lexington | Statement: [Old Morrison, city, Lexington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lexington
Context triple: [Old Morrison, city, Lexington]
  • A. Lexington chosen
    Lexington is a historic independent city in western Virginia known for its military and educational institutions, including the Virginia Military Institute and Washington and Lee University.
  • B. Lexington
    Lexington is a historic suburban town in Massachusetts, United States, best known as the site where the first shots of the American Revolutionary War were fired at the Battle of Lexington in 1775.
  • C. Lexington, Kentucky
    Lexington, Kentucky is a major city in the Bluegrass region renowned as the "Horse Capital of the World" for its thoroughbred breeding and racing industry.
  • D. Shelbyville
    Shelbyville is a small city in central Indiana that functions as a local commercial and residential hub within the greater Indianapolis region.
  • E. Shelbyville
    Shelbyville is the rival town to Springfield in the animated television series "The Simpsons," often depicted with similar but slightly inferior versions of Springfield’s landmarks and residents.
  • 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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6f8659d40819087a2709bd24261ee completed April 9, 2026, 12:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69e4f34d1e108190ad281dae6c92634e completed April 19, 2026, 3:22 p.m.
Created at: April 8, 2026, 9:09 p.m.