Triple

T6255881
Position Surface form Disambiguated ID Type / Status
Subject Brown Line E140162 entity
Predicate hasStation P35 FINISHED
Object Diversey station E161112 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: Diversey station | Statement: [Brown Line, hasStation, Diversey station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Diversey station
Context triple: [Brown Line, hasStation, Diversey station]
  • A. Diversey station chosen
    Diversey station is a Chicago Transit Authority 'L' train stop in the Lincoln Park neighborhood, served primarily by the Brown and Purple Lines.
  • B. Cecil B. Moore station
    Cecil B. Moore station is a subway stop on Philadelphia’s Broad Street Line serving the Temple University area and surrounding North Philadelphia neighborhoods.
  • C. Dorsey station
    Dorsey station is a commuter rail stop in Maryland served by MARC’s Camden Line between Washington, D.C., and Baltimore.
  • D. Briarwood station
    Briarwood station is a New York City Subway station in Queens serving the IND Queens Boulevard Line.
  • E. Raymond Avenue Station
    Raymond Avenue Station is a light rail stop in Saint Paul, Minnesota, serving the METRO Green Line and the surrounding University and neighborhood communities.
  • 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_69c008b4858c819095b0199114a9a87b completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063653910819095f1dc3b90ce77db completed March 22, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c244379f308190b73fe7ed4ed678e9 completed March 24, 2026, 7:58 a.m.
Created at: March 22, 2026, 4:24 p.m.