Triple

T11267942
Position Surface form Disambiguated ID Type / Status
Subject 1 Line E266735 entity
Predicate hasStation P35 FINISHED
Object Columbia City station E766131 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: Columbia City station | Statement: [1 Line, hasStation, Columbia City station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Columbia City station
Context triple: [1 Line, hasStation, Columbia City station]
  • A. Columbia City Station chosen
    Columbia City Station is a light rail stop in Seattle’s Columbia City neighborhood, serving Sound Transit’s Link light rail system.
  • B. 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.
  • C. 46th Street Station
    46th Street Station is a light rail stop in Minneapolis, Minnesota, serving passengers on the METRO Blue Line.
  • D. Kirkwood station
    Kirkwood station is a historic Amtrak passenger rail station in downtown Kirkwood, Missouri, known for its Richardsonian Romanesque architecture and active community volunteers.
  • E. Dorsey station
    Dorsey station is a commuter rail stop in Maryland served by MARC’s Camden Line between Washington, D.C., and Baltimore.
  • 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_69d6aac8c2f48190ad0596f1f89f0470 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e94f60d48190bc925c3cb88641a8 completed April 9, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4f4229c7081909da6b22ee6bf4905 completed April 19, 2026, 3:26 p.m.
Created at: April 8, 2026, 9:31 p.m.