Triple

T4040006
Position Surface form Disambiguated ID Type / Status
Subject CTA Orange Line E83922 entity
Predicate hasStation P35 FINISHED
Object Clark/Lake station E140174 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: Clark/Lake station | Statement: [CTA Orange Line, hasStation, Clark/Lake station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clark/Lake station
Context triple: [CTA Orange Line, hasStation, Clark/Lake station]
  • A. Clark/Lake station chosen
    Clark/Lake station is a major Chicago 'L' transit hub in the Loop where multiple CTA lines intersect, providing extensive connections across the city.
  • B. Silver Lake station
    Silver Lake station is a stop on New Jersey's Newark Light Rail system serving the surrounding residential neighborhood.
  • C. Lincoln station
    Lincoln station is a commuter rail stop in Lincoln, Massachusetts, serving passengers on the MBTA's Fitchburg Line.
  • D. Forest Park station
    Forest Park station is a Chicago Transit Authority rapid transit station in Forest Park, Illinois, serving as the western endpoint of the Blue Line.
  • E. Harlem/Lake station
    Harlem/Lake station is the western terminal of the Chicago Transit Authority’s Green Line, located in the suburb of Oak Park, Illinois.
  • 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_69aed92f7cf0819098e0539bdcc3767f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb39400881909d0f5430f04e441c completed March 9, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57f15f0088190b2ec453183f0ca7f completed March 14, 2026, 3:30 p.m.
Created at: March 9, 2026, 3:37 p.m.