Triple

T15879979
Position Surface form Disambiguated ID Type / Status
Subject Lexington, Virginia E385049 entity
Predicate hasNickname P39 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: [Lexington, Virginia, hasNickname, Lexington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lexington
Context triple: [Lexington, Virginia, hasNickname, Lexington]
  • A. 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.
  • B. 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.
  • C. Lexington
    Lexington is a small, tech-savvy gargoyle from the animated series "Gargoyles," known for his intelligence, curiosity, and role as the clan’s computer and electronics expert.
  • D. Lexington
    Lexington is a small community located within Cleveland County, likely characterized by its local residential and rural surroundings.
  • E. Lexington
    Lexington is a major city in central Kentucky known for its horse farms, bluegrass landscape, and role as a regional educational and economic hub.
  • 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_69d86da4e86481909f1325fdc971b5ec completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15600863c8190a2dbfd6d7ff495d7 completed April 16, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa9529ac48190993d1af234faea3b completed May 9, 2026, 9:38 p.m.
Created at: April 10, 2026, 4:51 a.m.