Triple

T1299315
Position Surface form Disambiguated ID Type / Status
Subject Penn Line E27724 entity
Predicate intermediateStop P24280 FINISHED
Object Edgewood station
Edgewood station is a commuter rail stop in Edgewood, Maryland, served by MARC’s Penn Line between Baltimore and Perryville.
E227409 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: Edgewood station | Statement: [Penn Line, intermediateStop, Edgewood station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edgewood station
Context triple: [Penn Line, intermediateStop, Edgewood station]
  • A. 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.
  • B. Hewlett station
    Hewlett station is a Long Island Rail Road commuter rail stop serving the Hewlett community in Nassau County, New York.
  • C. Snyder station
    Snyder station is an underground rapid transit stop on SEPTA’s Broad Street Line serving South Philadelphia.
  • D. Crestmont station
    Crestmont station is a SEPTA Regional Rail stop in Abington Township, Pennsylvania, serving passengers on the Warminster Line.
  • E. Riverside station
    Riverside station is a major Massachusetts Bay Transportation Authority light rail station and park-and-ride hub located in Newton, Massachusetts.
  • 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: Edgewood station
Triple: [Penn Line, intermediateStop, Edgewood station]
Generated description
Edgewood station is a commuter rail stop in Edgewood, Maryland, served by MARC’s Penn Line between Baltimore and Perryville.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Edgewood station
Target entity description: Edgewood station is a commuter rail stop in Edgewood, Maryland, served by MARC’s Penn Line between Baltimore and Perryville.
  • A. 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.
  • B. Hewlett station
    Hewlett station is a Long Island Rail Road commuter rail stop serving the Hewlett community in Nassau County, New York.
  • C. Snyder station
    Snyder station is an underground rapid transit stop on SEPTA’s Broad Street Line serving South Philadelphia.
  • D. Crestmont station
    Crestmont station is a SEPTA Regional Rail stop in Abington Township, Pennsylvania, serving passengers on the Warminster Line.
  • E. Riverside station
    Riverside station is a major Massachusetts Bay Transportation Authority light rail station and park-and-ride hub located in Newton, Massachusetts.
  • 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_69a496d6682881909ba658f1c1e0e2b0 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c48bec548190b25d4a74b323cc1b completed March 1, 2026, 10:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae1fae5aa08190b6aa50b543a175b8 completed March 9, 2026, 1:17 a.m.
NEDg Description generation batch_69ae204fe6148190915219beb27128bc completed March 9, 2026, 1:20 a.m.
NED2 Entity disambiguation (via description) batch_69ae20d09c748190aebbfb88f0eedbaa completed March 9, 2026, 1:22 a.m.
Created at: March 1, 2026, 7:51 p.m.