Triple

T1578089
Position Surface form Disambiguated ID Type / Status
Subject King of Prussia E33698 entity
Predicate majorHighwayAccess P385 FINISHED
Object U.S. Route 422 E229410 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: U.S. Route 422 | Statement: [King of Prussia, majorHighwayAccess, U.S. Route 422]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: U.S. Route 422
Context triple: [King of Prussia, majorHighwayAccess, U.S. Route 422]
  • A. U.S. Route 422 chosen
    U.S. Route 422 is a U.S. highway running through parts of Ohio and Pennsylvania, connecting cities such as Cleveland, Youngstown, and Reading.
  • B. U.S. Route 302
    U.S. Route 302 is a U.S. highway in the northeastern United States that runs from Montpelier, Vermont, through New Hampshire, to Portland, Maine.
  • C. U.S. Route 119
    U.S. Route 119 is a U.S. highway running generally north–south through parts of Kentucky, West Virginia, and Pennsylvania, connecting numerous towns and cities in the Appalachian region.
  • D. U.S. Route 15
    U.S. Route 15 is a major north–south U.S. Highway running from South Carolina to New York, serving as an important regional corridor through several Mid-Atlantic and Southern states.
  • E. U.S. Route 209
    U.S. Route 209 is a U.S. highway running through eastern Pennsylvania and southeastern New York, connecting rural communities, small cities, and scenic areas in the Appalachian and Catskill regions.
  • 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_69a885f27a4c8190a4622252cdf54c00 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa61ddc9908190a4afca1c24400817 completed March 6, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa035474881908e283cd1af65beea completed March 10, 2026, 4:38 a.m.
Created at: March 4, 2026, 7:27 p.m.