Triple

T6255895
Position Surface form Disambiguated ID Type / Status
Subject Brown Line E140162 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: [Brown Line, hasStation, Clark/Lake station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clark/Lake station
Context triple: [Brown 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. River Grove station
    River Grove station is a commuter rail stop in River Grove, Illinois, served by Metra’s North Central Service line in the Chicago metropolitan area.
  • E. 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.
  • 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_69c603ea4b64819098abfe83fc5003aa completed March 27, 2026, 4:13 a.m.
Created at: March 22, 2026, 4:24 p.m.