Triple

T8830320
Position Surface form Disambiguated ID Type / Status
Subject RTA Rail E210119 entity
Predicate hasColorDesignation P60 FINISHED
Object Blue Line
The Blue Line is a rapid transit route within the Greater Cleveland RTA Rail system, serving key corridors across the metropolitan area.
E767133 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: Blue Line | Statement: [RTA Rail, hasColorDesignation, Blue Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blue Line
Context triple: [RTA Rail, hasColorDesignation, Blue Line]
  • A. Blue Line
    The Blue Line is one of the color-coded rapid transit routes in the Washington Metro system, running through key parts of Washington, D.C. and its Virginia suburbs.
  • B. Blue Line
    The Blue Line is one of the primary heavy-rail transit routes in Atlanta’s MARTA system, running east–west across the metropolitan area and serving key urban and suburban stations.
  • C. Blue Line
    The Blue Line is one of the primary routes of the MetroLink light rail system serving the St. Louis metropolitan area.
  • D. Blue Line
    The Blue Line is one of the main rapid transit corridors of the Hyderabad Metro system in Hyderabad, India.
  • E. Blue Line
    The Blue Line is one of the aerial cable car routes in La Paz–El Alto’s Mi Teleférico urban transit system, providing high-altitude public transportation across the Bolivian cities.
  • 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: Blue Line
Triple: [RTA Rail, hasColorDesignation, Blue Line]
Generated description
The Blue Line is a rapid transit route within the Greater Cleveland RTA Rail system, serving key corridors across the metropolitan area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Blue Line
Target entity description: The Blue Line is a rapid transit route within the Greater Cleveland RTA Rail system, serving key corridors across the metropolitan area.
  • A. Blue Line chosen
    The Blue Line is a light rail service operated by Cleveland's Greater Cleveland Regional Transit Authority (RTA) as part of its urban transit network.
  • B. Blue Line
    Blue Line is a light rail service route within Salt Lake City’s TRAX public transit system, connecting key areas of the metropolitan region.
  • C. Blue Line
    The Blue Line is a major rapid transit route in Chicago that runs between O'Hare International Airport and the city's western suburbs via downtown.
  • D. Blue Line
    The Blue Line is one of the primary light rail transit routes in Calgary's CTrain system, serving key corridors across the city.
  • E. Blue Line
    The Blue Line is a primary route of the Baltimore Light Rail system that provides north–south rail transit service through the Baltimore metropolitan area.
  • F. None of above.

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_69ca8365b28081909e48e45e95dfc405 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc604db0788190a3082467d80fdaf5 completed April 1, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69d04729c39c8190a88a28288653399b completed April 3, 2026, 11:03 p.m.
NEDg Description generation batch_69d0489f19808190b793dac8c0f743bc completed April 3, 2026, 11:09 p.m.
NED2 Entity disambiguation (via description) batch_69d0496ccb908190b9ebe632df1447be completed April 3, 2026, 11:12 p.m.
Created at: March 30, 2026, 6:47 p.m.