Triple

T4414595
Position Surface form Disambiguated ID Type / Status
Subject Ashland/63rd Branch E94933 entity
Predicate terminus P388 FINISHED
Object Garfield station
Garfield station is a Chicago 'L' rapid transit station on the South Side that serves as the southern endpoint of the Ashland/63rd branch of the Green Line.
 E465188 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: Garfield station | Statement: [Ashland/63rd Branch, terminus, Garfield station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Garfield station
Context triple: [Ashland/63rd Branch, terminus, Garfield station]
  • A. Bachman station
    Bachman station is a public transit stop in Dallas, Texas, served by DART’s Green Line light rail system.
  • B. Edgewood station
    Edgewood station is a commuter rail stop in Edgewood, Maryland, served by MARC’s Penn Line between Baltimore and Perryville.
  • C. Snyder station
    Snyder station is an underground rapid transit stop on SEPTA’s Broad Street Line serving South Philadelphia.
  • D. Dorsey station
    Dorsey station is a commuter rail stop in Maryland served by MARC’s Camden Line between Washington, D.C., and Baltimore.
  • E. Briarwood station
    Briarwood station is a New York City Subway station in Queens serving the IND Queens Boulevard Line.
  • 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: Garfield station
Triple: [Ashland/63rd Branch, terminus, Garfield station]
Generated description
Garfield station is a Chicago 'L' rapid transit station on the South Side that serves as the southern endpoint of the Ashland/63rd branch of the Green Line.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Garfield station
Target entity description: Garfield station is a Chicago 'L' rapid transit station on the South Side that serves as the southern endpoint of the Ashland/63rd branch of the Green Line.
  • A. Bachman station
    Bachman station is a public transit stop in Dallas, Texas, served by DART’s Green Line light rail system.
  • B. Edgewood station
    Edgewood station is a commuter rail stop in Edgewood, Maryland, served by MARC’s Penn Line between Baltimore and Perryville.
  • C. Snyder station
    Snyder station is an underground rapid transit stop on SEPTA’s Broad Street Line serving South Philadelphia.
  • D. Dorsey station
    Dorsey station is a commuter rail stop in Maryland served by MARC’s Camden Line between Washington, D.C., and Baltimore.
  • E. Briarwood station
    Briarwood station is a New York City Subway station in Queens serving the IND Queens Boulevard Line.
  • 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_69b34539638c8190abfea3eb29425210 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b354e940d48190b49cca6796d60de4 completed March 13, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69be100f9e58819088fa92122cd57455 completed March 21, 2026, 3:27 a.m.
NEDg Description generation batch_69be162b30888190a83c15c1cf546ade completed March 21, 2026, 3:53 a.m.
NED2 Entity disambiguation (via description) batch_69be167c5a908190a30376a476c9b7e3 completed March 21, 2026, 3:54 a.m.
Created at: March 12, 2026, 11:29 p.m.