Triple

T19633154
Position Surface form Disambiguated ID Type / Status
Subject State Road 39 E471320 entity
Predicate hasJunctionWith P1018 FINISHED
Object State Road 60 NE NERFINISHED

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: State Road 60 | Statement: [State Road 39, hasJunctionWith, State Road 60]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: State Road 60
Context triple: [State Road 39, hasJunctionWith, State Road 60]
  • A. State Road 60 chosen
    State Road 60 is a major east–west highway in Florida that connects the Gulf Coast city of Clearwater with central and eastern parts of the state.
  • B. State Road 61
    State Road 61 is a north–south state highway in Florida that runs through the Tallahassee area, serving communities such as Woodville.
  • C. State Road 67
    State Road 67 is a significant Indiana state highway that runs through multiple counties, including Hendricks County, connecting rural areas with major urban centers.
  • D. State Road 67
    State Road 67 is a Florida state highway that runs through the state's eastern Panhandle, providing regional connectivity for rural communities including parts of Liberty County.
  • E. State Road 65
    State Road 65 is a Florida state highway that runs through the Florida Panhandle, connecting rural communities and providing access to areas such as Liberty County.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e511f28481909f4bc3ea9191e54a completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e6410449ec8190b8c20c0e09cd9156 completed April 20, 2026, 3:06 p.m.
Created at: April 10, 2026, 1:44 p.m.