Triple

T16973983
Position Surface form Disambiguated ID Type / Status
Subject North Nova Road E411759 entity
Predicate hasName P744 FINISHED
Object North Nova Road 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: North Nova Road | Statement: [North Nova Road, hasName, North Nova Road]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: North Nova Road
Context triple: [North Nova Road, hasName, North Nova Road]
  • A. North Nova Road chosen
    North Nova Road is a roadway in Daytona Beach, Florida, known for running past major local landmarks including the Museum of Arts and Sciences.
  • B. Broadview Road
    Broadview Road is a major thoroughfare in Cleveland, Ohio, known for serving as a key commercial corridor through the Old Brooklyn neighborhood.
  • C. Langley Road
    Langley Road is a residential and commercial street located in the Newton Centre neighborhood of Newton, Massachusetts.
  • D. Novi Road
    Novi Road is a major north–south thoroughfare in Novi, Michigan, serving as a key commercial and commuter route in the area.
  • E. Lambton Road
    Lambton Road is a roadway located in the Lambton area, serving as one of the local streets within that community.
  • 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_69d886ca8f348190812768ea8d5055ce completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d0af06688190a77682aa297cd27e completed April 18, 2026, 6:42 p.m.
Created at: April 10, 2026, 5:31 a.m.