Triple

T22262790
Position Surface form Disambiguated ID Type / Status
Subject Port Authority light rail E550270 entity
Predicate hasStation P35 FINISHED
Object North Side station 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 Side station | Statement: [Port Authority light rail, hasStation, North Side station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: North Side station
Context triple: [Port Authority light rail, hasStation, North Side station]
  • A. North Side Station chosen
    North Side Station is a commuter rail stop in Fort Worth, Texas, that functions as one of the key stations on Trinity Metro’s TEXRail line connecting downtown Fort Worth to Dallas/Fort Worth International Airport.
  • B. Northside station
    Northside station is a Miami Metrorail rapid transit stop located in the northern part of Miami, Florida.
  • C. North Avenue station
    North Avenue station is a transit stop on Baltimore's Light Rail system serving the North Avenue corridor in Baltimore, Maryland.
  • D. North Avenue station
    North Avenue station is a major elevated rail station in Quezon City, Philippines, serving as a key commuter hub on Manila’s MRT Line 3.
  • E. North Avenue station
    North Avenue station is a rapid transit stop in Atlanta, Georgia, serving MARTA’s Red Line near the city’s Midtown and downtown areas.
  • 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_69e11e42adb8819087714772ea606709 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f141b94a688190b17c55477993a745 completed April 28, 2026, 11:24 p.m.
Created at: April 16, 2026, 8:39 p.m.