Triple

T10794790
Position Surface form Disambiguated ID Type / Status
Subject Norfolk E254675 entity
Predicate hasTransportation P105 FINISHED
Object The Tide light rail E92717 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: The Tide light rail | Statement: [Norfolk, hasTransportation, The Tide light rail]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Tide light rail
Context triple: [Norfolk, hasTransportation, The Tide light rail]
  • A. The Tide light rail system chosen
    The Tide light rail system is an urban light rail transit network serving the city of Norfolk and surrounding areas in southeastern Virginia.
  • B. MAX Light Rail
    MAX Light Rail is the metropolitan light rail transit system serving the Portland, Oregon, metropolitan area.
  • C. DART Light Rail
    DART Light Rail is a light rail transit system serving the Dallas–Fort Worth metropolitan area, operated by Dallas Area Rapid Transit.
  • D. Central Light Rail Line
    The Central Light Rail Line is a key light rail transit corridor in Maryland that provides urban and suburban passenger rail service through the Baltimore metropolitan area.
  • E. LYNX light rail system
    The LYNX light rail system is Charlotte, North Carolina’s urban rail transit network, providing electric passenger service along key corridors such as the Blue Line.
  • 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_69d6aa61c15c8190a1839550c56e75e1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d733321dd881909dcd4224dfa9822a completed April 9, 2026, 5:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69de5654e2c48190a8f078b8164707e2 completed April 14, 2026, 2:59 p.m.
Created at: April 8, 2026, 9:17 p.m.