Triple

T4177121
Position Surface form Disambiguated ID Type / Status
Subject Salt Lake City TRAX E86503 entity
Predicate hasStation P35 FINISHED
Object Courthouse station
Courthouse station is a light rail station in downtown Salt Lake City, Utah, serving the Utah Transit Authority’s TRAX system.
 E460000 NE FINISHED

How this triple was built (4 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: Courthouse station | Statement: [Salt Lake City TRAX, hasStation, Courthouse station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Courthouse station
Context triple: [Salt Lake City TRAX, hasStation, Courthouse station]
  • A. Court House station
    Court House station is a Washington Metro rapid transit station serving the Courthouse neighborhood in Arlington, Virginia.
  • B. Briarwood station
    Briarwood station is a New York City Subway station in Queens serving the IND Queens Boulevard Line.
  • C. Edgewood station
    Edgewood station is a commuter rail stop in Edgewood, Maryland, served by MARC’s Penn Line between Baltimore and Perryville.
  • D. 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.
  • 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. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Courthouse station
Triple: [Salt Lake City TRAX, hasStation, Courthouse station]
Generated description
Courthouse station is a light rail station in downtown Salt Lake City, Utah, serving the Utah Transit Authority’s TRAX system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Courthouse station
Target entity description: Courthouse station is a light rail station in downtown Salt Lake City, Utah, serving the Utah Transit Authority’s TRAX system.
  • A. Court House station
    Court House station is a Washington Metro rapid transit station serving the Courthouse neighborhood in Arlington, Virginia.
  • B. Briarwood station
    Briarwood station is a New York City Subway station in Queens serving the IND Queens Boulevard Line.
  • C. Edgewood station
    Edgewood station is a commuter rail stop in Edgewood, Maryland, served by MARC’s Penn Line between Baltimore and Perryville.
  • D. 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.
  • 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. chosen

Provenance (5 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_69aed93de98c8190ad838ce507b77c8a completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af02ec20fc8190b6f30576337e0ddc completed March 9, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69be031d16a08190b84524b7153f7f85 completed March 21, 2026, 2:31 a.m.
NEDg Description generation batch_69be040a8b248190b31ac61e5b2eb1ac completed March 21, 2026, 2:35 a.m.
NED2 Entity disambiguation (via description) batch_69be04c76d908190becee3d88aa0e1a0 completed March 21, 2026, 2:39 a.m.
Created at: March 9, 2026, 3:45 p.m.