Triple

T35714
Position Surface form Disambiguated ID Type / Status
Subject Maryland E707 entity
Predicate nickname P55 FINISHED
Object Old Line State E707 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: Old Line State | Statement: [Maryland, nickname, Old Line State]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Old Line State
Context triple: [Maryland, nickname, Old Line State]
  • 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. Maryland chosen
    Maryland is a Mid-Atlantic U.S. state known for its Chesapeake Bay shoreline, colonial history, and proximity to the nation’s capital.
  • C. de Forest
    de Forest is a surname most notably associated with Lee de Forest, an American inventor and early pioneer of radio and electronic communication.
  • D. F.D. Roosevelt State Park
    F.D. Roosevelt State Park is Georgia’s largest state park, known for its extensive hiking trails, scenic overlooks, and historical ties to President Franklin D. Roosevelt.
  • E. Florida
    Florida is a southeastern U.S. state known for its warm climate, extensive beaches, tourism industry centered on attractions like Walt Disney World, and significant cultural and economic influence.
  • 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_69a247a8f6c08190bac804906d62ed5a completed Feb. 28, 2026, 1:40 a.m.
NER Named-entity recognition batch_69a24aca5ed481908d1aa2ca656f25ea completed Feb. 28, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69a24e607c5c8190b10af5106685b3c6 completed Feb. 28, 2026, 2:09 a.m.
Created at: Feb. 28, 2026, 1:46 a.m.