Triple

T23347545
Position Surface form Disambiguated ID Type / Status
Subject Bellevue Downtown Station E591908 entity
Predicate partOfLine P6309 FINISHED
Object 2 Line
The 2 Line is a light rail line in Sound Transit's Link light rail system serving the Seattle metropolitan area, including Bellevue and other Eastside communities.
E1582004 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: 2 Line | Statement: [Bellevue Downtown Station, partOfLine, 2 Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 2 Line
Context triple: [Bellevue Downtown Station, partOfLine, 2 Line]
  • A. 1 Line
    The 1 Line is a light rail route in the Seattle metropolitan area that forms the core north–south spine of Sound Transit's Link light rail system.
  • B. 3 Line
    The 3 Line is a New York City Subway service that runs on the IRT Eastern Parkway and Lenox Avenue lines, connecting Brooklyn with Manhattan and the Bronx.
  • C. Line 2
    Line 2 is a major subway line on Toronto's Bloor–Danforth corridor, running primarily east–west across the city.
  • D. Line 2
    Line 2 is a circular line of the Brussels Metro system that serves central and surrounding districts of the Belgian capital.
  • E. Line 2
    Line 2 is a major rapid transit route of the STC Metro system, serving key districts along one of the network’s primary corridors.
  • 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: 2 Line
Triple: [Bellevue Downtown Station, partOfLine, 2 Line]
Generated description
The 2 Line is a light rail line in Sound Transit's Link light rail system serving the Seattle metropolitan area, including Bellevue and other Eastside communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 2 Line
Target entity description: The 2 Line is a light rail line in Sound Transit's Link light rail system serving the Seattle metropolitan area, including Bellevue and other Eastside communities.
  • A. 1 Line
    The 1 Line is a light rail route in the Seattle metropolitan area that forms the core north–south spine of Sound Transit's Link light rail system.
  • B. 3 Line
    The 3 Line is a New York City Subway service that runs on the IRT Eastern Parkway and Lenox Avenue lines, connecting Brooklyn with Manhattan and the Bronx.
  • C. Line 2
    Line 2 is a major subway line on Toronto's Bloor–Danforth corridor, running primarily east–west across the city.
  • D. Line 2
    Line 2 is a planned second rapid transit line of the Turin Metro system in Turin, Italy, intended to expand the city's urban rail network.
  • E. Line 2
    Line 2 is a major rapid transit route of the STC Metro system, serving key districts along one of the network’s primary corridors.
  • 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_69e25d20e3d08190bcede87673cafb25 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1983840a481908c503e47ef2158e3 completed April 29, 2026, 5:33 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c4cba927481908194b998075d522d completed May 19, 2026, 11:42 a.m.
NEDg Description generation batch_6a0c52f9ecc48190a8d5ae67566ea6ed completed May 19, 2026, 12:09 p.m.
NED2 Entity disambiguation (via description) batch_6a0c536bb21481908524a8ffe3084ebb completed May 19, 2026, 12:11 p.m.
Created at: April 17, 2026, 5:19 p.m.