Triple

T6209707
Position Surface form Disambiguated ID Type / Status
Subject Upplands Väsby station E138835 entity
Predicate operator P179 FINISHED
Object SL
SL is the public transport authority for the Stockholm region, responsible for operating and coordinating local trains, buses, and other transit services.
 E103978 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: SL | Statement: [Upplands Väsby station, operator, SL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SL
Context triple: [Upplands Väsby station, operator, SL]
  • A. SL
    The Mercedes-Benz SL is a long-running line of luxury grand touring roadsters renowned for combining high performance with elegant design and advanced technology.
  • B. SL
    SL is the IATA airline designator code assigned to SAS Ireland, a subsidiary carrier of Scandinavian Airlines.
  • C. SL
    SL is a mid-range trim level of the Vauxhall Viva that added extra comfort and cosmetic features over the base model.
  • D. SL
    SL is a mid-range trim level designation used by Holden for certain Torana models, offering additional comfort and convenience features over the base variants.
  • E. SL
    SL is the two-letter ISO country code for Sierra Leone, a West African nation on the Atlantic coast.
  • 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: SL
Triple: [Upplands Väsby station, operator, SL]
Generated description
SL is the public transport authority for the Stockholm region, responsible for operating and coordinating local trains, buses, and other transit services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SL
Target entity description: SL is the public transport authority for the Stockholm region, responsible for operating and coordinating local trains, buses, and other transit services.
  • A. SL chosen
    SL is the public transport authority and brand responsible for operating and coordinating the mass transit system in the Stockholm region of Sweden.
  • B. SL
    SL is the IATA airline designator code assigned to SAS Ireland, a subsidiary carrier of Scandinavian Airlines.
  • C. SL
    SL is the vehicle registration code used for the Austrian municipality of Anif in the state of Salzburg.
  • D. SL
    SL is a German vehicle registration code used on license plates to identify cars registered in the Saalekreis district of Saxony-Anhalt.
  • E. SL
    SL is a UK postcode area covering Slough and surrounding parts of Berkshire and nearby counties.
  • 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_69c008ada364819096c9e92c74d639b5 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0628850bc819080a26c5e05a1d29f completed March 22, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16f57821c8190bd7a5f6bf286ab09 completed March 23, 2026, 4:50 p.m.
NEDg Description generation batch_69c1bfe63d708190b734c064bdf0d735 completed March 23, 2026, 10:34 p.m.
NED2 Entity disambiguation (via description) batch_69c1c3f2b1388190bef6fe203f11fa3f completed March 23, 2026, 10:51 p.m.
Created at: March 22, 2026, 4:21 p.m.