Triple

T15915346
Position Surface form Disambiguated ID Type / Status
Subject Skanstull metro station E385953 entity
Predicate locatedOn P40 FINISHED
Object Green Line 19
Green Line 19 is a route on Stockholm’s metro system that forms part of the city’s green line network.
 E1189046 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 19 | Statement: [Skanstull metro station, locatedOn, Green Line 19]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Green Line 19
Context triple: [Skanstull metro station, locatedOn, Green Line 19]
  • A. Green Line 17
    Green Line 17 is a branch of Stockholm's metro Green Line that serves several southern and central districts of the city.
  • B. Green line 18
    Green line 18 is a route on Stockholm's metro system that serves the southern suburbs and terminates at Farsta strand station.
  • C. MAX Green Line
    MAX Green Line is a light rail service in the Portland, Oregon metropolitan area that connects downtown Portland with Clackamas Town Center as part of TriMet’s MAX Light Rail system.
  • D. 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.
  • E. Green Line
    The Green Line is one of the main corridors of the Hyderabad Metro rapid transit system, serving key areas of the city along its north–south axis.
  • 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 19
Triple: [Skanstull metro station, locatedOn, Green Line 19]
Generated description
Green Line 19 is a route on Stockholm’s metro system that forms part of the city’s green line network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Green Line 19
Target entity description: Green Line 19 is a route on Stockholm’s metro system that forms part of the city’s green line network.
  • A. Green Line 17
    Green Line 17 is a branch of Stockholm's metro Green Line that serves several southern and central districts of the city.
  • B. Green line 18
    Green line 18 is a route on Stockholm's metro system that serves the southern suburbs and terminates at Farsta strand station.
  • C. MAX Green Line
    MAX Green Line is a light rail service in the Portland, Oregon metropolitan area that connects downtown Portland with Clackamas Town Center as part of TriMet’s MAX Light Rail system.
  • D. 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.
  • E. Green Line
    The Green Line is one of the main corridors of the Hyderabad Metro rapid transit system, serving key areas of the city along its north–south axis.
  • 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_69d86da686e4819097cbf3b1fc2d881d completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1566216d481908dd6e3acaa26fd45 completed April 16, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf11fd1481909f460cfa4485d3e3 completed May 10, 2026, 12:19 a.m.
NEDg Description generation batch_69ffcfea613c8190abfed4d9b32eeeee completed May 10, 2026, 12:23 a.m.
NED2 Entity disambiguation (via description) batch_69ffd0b3d4b08190b1be30954d5d76c0 completed May 10, 2026, 12:26 a.m.
Created at: April 10, 2026, 4:52 a.m.