Triple

T15333228
Position Surface form Disambiguated ID Type / Status
Subject State/Lake E366593 entity
Predicate servedByLine P1293 FINISHED
Object Green Line
The Green Line is a major rapid transit route in Chicago's 'L' system, running primarily along the city's West and South Sides.
E17058 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: Green Line | Statement: [State/Lake, servedByLine, Green Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Green Line
Context triple: [State/Lake, servedByLine, Green Line]
  • A. Green Line
    The Green Line is the oldest and busiest line of the Athens Metro, running primarily at ground level and connecting key northern and southern suburbs through central Athens.
  • B. Green Line
    The Green Line is one of Chicago's elevated rapid transit routes, running primarily along the city's West and South Sides as part of the Chicago "L" system.
  • C. Green Line
    The Green Line was the former name of Los Angeles Metro's C Line, a light rail route serving the South Bay region and connecting to LAX via nearby stations.
  • D. Green Line
    The Green Line is a light rail service route within the San Diego Trolley system that connects key destinations across the San Diego metropolitan area.
  • E. Green Line
    The Green Line is a light rail service operated as part of Cleveland's RTA Rapid Transit system.
  • 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: Green Line
Triple: [State/Lake, servedByLine, Green Line]
Generated description
The Green Line is a major rapid transit route in Chicago's 'L' system, running primarily along the city's West and South Sides.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Green Line
Target entity description: The Green Line is a major rapid transit route in Chicago's 'L' system, running primarily along the city's West and South Sides.
  • A. Green Line chosen
    The Green Line is one of Chicago's elevated rapid transit routes, running primarily along the city's West and South Sides as part of the Chicago "L" system.
  • B. Green Line
    The Green Line is a rapid transit route within Miami-Dade County's Metrorail system, providing north-south rail service through key urban neighborhoods and connections.
  • C. Green Line
    The Green Line is one of the color-coded rapid transit routes in the Washington Metro system, serving key neighborhoods in Washington, D.C. and parts of Maryland.
  • D. Green Line
    The Green Line is one of the main light rail routes of Dublin’s Luas tram system, serving key suburbs and city areas along its corridor.
  • E. Green Line
    The Green Line is a light rail service operated as part of Cleveland's RTA Rapid Transit system.
  • 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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e0268608190947a58f559a67717 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff01ecb904819082454622dcd77556 completed May 9, 2026, 9:44 a.m.
NEDg Description generation batch_69ff03d4432c8190af9ce13c0ff70a36 completed May 9, 2026, 9:52 a.m.
NED2 Entity disambiguation (via description) batch_69ff044e01308190b2f077aecae1eece completed May 9, 2026, 9:54 a.m.
Created at: April 10, 2026, 3:17 a.m.