Triple

T3543584
Position Surface form Disambiguated ID Type / Status
Subject CTA Blue Line E74942 entity
Predicate hasStation P35 FINISHED
Object Clinton
Clinton is a Chicago 'L' rapid transit station on the Blue Line serving the city's downtown area.
 E370252 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: Clinton | Statement: [CTA Blue Line, hasStation, Clinton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Clinton
Context triple: [CTA Blue Line, hasStation, Clinton]
  • A. Clinton
    Clinton is a prominent American political surname most famously associated with Hillary Clinton, the former U.S. Secretary of State, senator, and First Lady.
  • B. Clinton
    Clinton is a small city in eastern Tennessee that serves as the county seat of Anderson County and is part of the greater Knoxville region.
  • C. Clinton
    Clinton is a small town in Dutchess County, New York, known for its rural character and historic Hudson Valley setting.
  • D. Clinton
    Clinton is a small unincorporated community and ferry terminal on the southern end of Whidbey Island in Island County, Washington.
  • E. Clinton
    Clinton is a small New England town in Worcester County, Massachusetts, known historically for its textile mills and the nearby Wachusett Reservoir.
  • 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: Clinton
Triple: [CTA Blue Line, hasStation, Clinton]
Generated description
Clinton is a Chicago 'L' rapid transit station on the Blue Line serving the city's downtown area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Clinton
Target entity description: Clinton is a Chicago 'L' rapid transit station on the Blue Line serving the city's downtown area.
  • A. Clinton
    Clinton, also known as Hell's Kitchen, is a vibrant New York City neighborhood on Manhattan’s West Side known for its diverse dining, Off-Broadway theaters, and proximity to Midtown.
  • B. Clinton
    Clinton is a small city in eastern Tennessee that serves as the county seat of Anderson County and is part of the greater Knoxville region.
  • C. Clinton
    Clinton is a small unincorporated community and ferry terminal on the southern end of Whidbey Island in Island County, Washington.
  • D. Clinton
    Clinton is a small town in Dutchess County, New York, known for its rural character and historic Hudson Valley setting.
  • E. Clinton
    Clinton is a prominent American political surname most famously associated with Hillary Clinton, the former U.S. Secretary of State, senator, and First Lady.
  • 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_69ad85d274cc8190ab59c97298a1cfbf completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbf752dd481909226044ffe595338 completed March 8, 2026, 6:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3bb8ec8948190a0ae799ad20f42b3 completed March 13, 2026, 7:23 a.m.
NEDg Description generation batch_69b3bd2c58188190ae822c2334e7d123 completed March 13, 2026, 7:30 a.m.
NED2 Entity disambiguation (via description) batch_69b3f85388c8819080c3cf149314b2ea completed March 13, 2026, 11:43 a.m.
Created at: March 8, 2026, 3:20 p.m.