Triple

T4171540
Position Surface form Disambiguated ID Type / Status
Subject Charlotte LYNX Blue Line E84574 entity
Predicate hasStation P35 FINISHED
Object Bland Street station
Bland Street station is a light rail stop on Charlotte's LYNX Blue Line serving the South End neighborhood of Charlotte, North Carolina.
 E453615 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: Bland Street station | Statement: [Charlotte LYNX Blue Line, hasStation, Bland Street station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bland Street station
Context triple: [Charlotte LYNX Blue Line, hasStation, Bland Street station]
  • A. Grove Street station
    Grove Street station is a light rail station in Bloomfield, New Jersey, serving as the northern terminus of the Newark Light Rail line.
  • B. Grove Street station
    Grove Street station is a key underground stop on the PATH rapid transit system serving Jersey City, New Jersey.
  • C. Green Street station
    Green Street station is a rapid transit stop on Boston's MBTA Orange Line located in the Jamaica Plain neighborhood.
  • D. Briarwood station
    Briarwood station is a New York City Subway station in Queens serving the IND Queens Boulevard Line.
  • E. Belt Line Station
    Belt Line Station is a light rail stop in Irving, Texas, serving Dallas Area Rapid Transit’s Orange Line near Dallas/Fort Worth International Airport.
  • 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: Bland Street station
Triple: [Charlotte LYNX Blue Line, hasStation, Bland Street station]
Generated description
Bland Street station is a light rail stop on Charlotte's LYNX Blue Line serving the South End neighborhood of Charlotte, North Carolina.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bland Street station
Target entity description: Bland Street station is a light rail stop on Charlotte's LYNX Blue Line serving the South End neighborhood of Charlotte, North Carolina.
  • A. Grove Street station
    Grove Street station is a light rail station in Bloomfield, New Jersey, serving as the northern terminus of the Newark Light Rail line.
  • B. Grove Street station
    Grove Street station is a key underground stop on the PATH rapid transit system serving Jersey City, New Jersey.
  • C. Green Street station
    Green Street station is a rapid transit stop on Boston's MBTA Orange Line located in the Jamaica Plain neighborhood.
  • D. Briarwood station
    Briarwood station is a New York City Subway station in Queens serving the IND Queens Boulevard Line.
  • E. Belt Line Station
    Belt Line Station is a light rail stop in Irving, Texas, serving Dallas Area Rapid Transit’s Orange Line near Dallas/Fort Worth International Airport.
  • 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_69aed932cab48190b80ffe35f7029ae1 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af02c9e12c81908d0b22671fea2453 completed March 9, 2026, 5:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdd36a7c9c81908f325bc8a53db0c8 completed March 20, 2026, 11:08 p.m.
NEDg Description generation batch_69bdd500b0088190abf6c7616a379f5c completed March 20, 2026, 11:15 p.m.
NED2 Entity disambiguation (via description) batch_69bdd563a7fc8190a7091add8ef0e717 completed March 20, 2026, 11:16 p.m.
Created at: March 9, 2026, 3:45 p.m.