Triple

T6045018
Position Surface form Disambiguated ID Type / Status
Subject METRORail Red Line E134644 entity
Predicate hasStation P35 FINISHED
Object Wheeler station
Wheeler station is a light rail stop in Houston, Texas, serving as an important transit point on METRORail’s Red Line.
 E564329 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: Wheeler station | Statement: [METRORail Red Line, hasStation, Wheeler station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wheeler station
Context triple: [METRORail Red Line, hasStation, Wheeler station]
  • A. Hewlett station
    Hewlett station is a Long Island Rail Road commuter rail stop serving the Hewlett community in Nassau County, New York.
  • B. Kimball station
    Kimball station is an elevated Chicago 'L' train station in the Albany Park neighborhood that serves as the northern endpoint of the Brown Line.
  • C. Patterson station
    Patterson station is a commuter rail stop in Patterson, New York, served by the Metro-North Railroad on its Harlem Line.
  • D. Pearl station
    Pearl station was the original name of the Pearl/Arts District light rail station in Dallas, Texas, serving the downtown area on DART’s system.
  • E. Arrowood station
    Arrowood station is a light rail stop on Charlotte's LYNX Blue Line serving the Arrowood Road area in Charlotte, North Carolina.
  • 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: Wheeler station
Triple: [METRORail Red Line, hasStation, Wheeler station]
Generated description
Wheeler station is a light rail stop in Houston, Texas, serving as an important transit point on METRORail’s Red Line.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wheeler station
Target entity description: Wheeler station is a light rail stop in Houston, Texas, serving as an important transit point on METRORail’s Red Line.
  • A. Hewlett station
    Hewlett station is a Long Island Rail Road commuter rail stop serving the Hewlett community in Nassau County, New York.
  • B. Kimball station
    Kimball station is an elevated Chicago 'L' train station in the Albany Park neighborhood that serves as the northern endpoint of the Brown Line.
  • C. Patterson station
    Patterson station is a commuter rail stop in Patterson, New York, served by the Metro-North Railroad on its Harlem Line.
  • D. Pearl station
    Pearl station was the original name of the Pearl/Arts District light rail station in Dallas, Texas, serving the downtown area on DART’s system.
  • E. Arrowood station
    Arrowood station is a light rail stop on Charlotte's LYNX Blue Line serving the Arrowood Road area in Charlotte, North Carolina.
  • 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_69c00876a69881908088a2626d3b2666 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056e41f98819089c205ba6138faf0 completed March 22, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1139f53d881908f2aa8211fc7539f completed March 23, 2026, 10:19 a.m.
NEDg Description generation batch_69c1153b6ce8819090a13d349ccd2d6c completed March 23, 2026, 10:26 a.m.
NED2 Entity disambiguation (via description) batch_69c115acfe748190b91c88df81c2e1c2 completed March 23, 2026, 10:27 a.m.
Created at: March 22, 2026, 4:09 p.m.