Triple

T13454464
Position Surface form Disambiguated ID Type / Status
Subject Virginia State Route 193 E311192 entity
Predicate hasAbbreviation P43 FINISHED
Object SR 193 E367117 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: SR 193 | Statement: [Virginia State Route 193, hasAbbreviation, SR 193]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SR 193
Context triple: [Virginia State Route 193, hasAbbreviation, SR 193]
  • A. SR 193 chosen
    SR 193 is a Virginia state highway known as Georgetown Pike, a historic and scenic road in Northern Virginia.
  • B. SR 190
    SR 190 is a California state highway that runs east–west through the southern Sierra Nevada and Death Valley, connecting the Central Valley to the Nevada state line.
  • C. SR 113
    SR 113 is a state highway in northern Ohio that runs east–west through several counties, connecting rural areas with small towns and cities.
  • D. SR 119
    SR 119 is a state highway in Alabama that serves as a regional connector route through several suburban and rural communities.
  • E. SR 163
    SR 163 is a major north–south freeway in San Diego, California, connecting downtown with the inland freeway network and passing through Balboa Park.
  • 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_69d806a938b8819097ec43a2229fc7f9 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaefc52448190b30d7999f44a9765 completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d8892a88190b4a32865b32c8883 completed May 3, 2026, 2:36 p.m.
Created at: April 9, 2026, 9:41 p.m.