Triple

T16976781
Position Surface form Disambiguated ID Type / Status
Subject Monticello station E411832 entity
Predicate partOf P40 FINISHED
Object The Tide light rail system 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 system | Statement: [Monticello station, partOf, The Tide light rail system]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Tide light rail system
Context triple: [Monticello station, partOf, The Tide light rail system]
  • 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. 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.
  • C. Mi Tren light rail system
    The Mi Tren light rail system is an urban rail transit network serving the Guadalajara metropolitan area in Jalisco, Mexico.
  • D. MAX Light Rail
    MAX Light Rail is the metropolitan light rail transit system serving the Portland, Oregon, metropolitan area.
  • E. 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.
  • 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_69d886ca8f348190812768ea8d5055ce completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d183ff648190a3cb47242bf7e6ba completed April 18, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d4755ffc8190a5c861462e33d526 completed May 10, 2026, 6:54 p.m.
Created at: April 10, 2026, 5:32 a.m.