Triple

T20257649
Position Surface form Disambiguated ID Type / Status
Subject Fort Dupont E498745 entity
Predicate nearbyMetroStation P2064 FINISHED
Object Minnesota Avenue 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: Minnesota Avenue station | Statement: [Fort Dupont, nearbyMetroStation, Minnesota Avenue station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Minnesota Avenue station
Context triple: [Fort Dupont, nearbyMetroStation, Minnesota Avenue station]
  • A. Minnesota Avenue station chosen
    Minnesota Avenue station is an elevated Washington Metro stop in Northeast Washington, D.C., serving the Orange Line near the Anacostia River.
  • B. Central Avenue station
    Central Avenue station is a stop on Boston's MBTA Mattapan Trolley line serving the Milton area along the historic Ashmont–Mattapan High-Speed Line.
  • C. 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.
  • D. North Avenue station
    North Avenue station is a transit stop on Baltimore's Light Rail system serving the North Avenue corridor in Baltimore, Maryland.
  • E. 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.
  • 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_69da6275fa6c8190952924930adee150 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e674c7296c819092860942de8f28d5 completed April 20, 2026, 6:47 p.m.
Created at: April 11, 2026, 11:41 p.m.