Triple

T3593514
Position Surface form Disambiguated ID Type / Status
Subject CTA Green Line E76081 entity
Predicate servesStation P839 FINISHED
Object State/Lake station E73981 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: State/Lake station | Statement: [CTA Green Line, servesStation, State/Lake station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: State/Lake station
Context triple: [CTA Green Line, servesStation, State/Lake station]
  • A. State/Lake station chosen
    State/Lake station is an elevated Chicago 'L' rapid transit stop in the Loop, serving multiple CTA lines in downtown Chicago.
  • B. Big Lake station
    Big Lake station is a commuter rail station in Big Lake, Minnesota, serving as the northern endpoint of the Northstar Line connecting to the Minneapolis–Saint Paul metropolitan area.
  • C. Lake station
    Lake station is a Chicago 'L' rapid transit station on the Loop, serving as a key stop in the city's downtown elevated rail system.
  • D. State station
    State station is a major underground MBTA subway station in downtown Boston serving multiple lines and providing key access to the city’s financial district.
  • E. Reservoir station
    Reservoir station is a light rail stop on Boston’s MBTA Green Line that serves the D branch near Cleveland Circle in Brookline.
  • 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_69ad85d8042081908af94a04c410dec0 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc15bbbcc81908d6cf95f8e70c6ca completed March 8, 2026, 6:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4030fab188190b8de1a4b4d625f00 completed March 13, 2026, 12:29 p.m.
Created at: March 8, 2026, 3:22 p.m.