Triple

T6083691
Position Surface form Disambiguated ID Type / Status
Subject Barkarby station E135583 entity
Predicate operatedBy P86 FINISHED
Object SL
SL is the public transport authority responsible for operating and coordinating the Stockholm region’s bus, metro, commuter train, and local rail services in Sweden.
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: [Barkarby station, operatedBy, SL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SL
Context triple: [Barkarby station, operatedBy, 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 a German vehicle registration code used on license plates to identify cars registered in the Saalekreis district of Saxony-Anhalt.
  • C. SL
    SL is the IATA airline designator code assigned to SAS Ireland, a subsidiary carrier of Scandinavian Airlines.
  • 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: [Barkarby station, operatedBy, SL]
Generated description
SL is the public transport authority responsible for operating and coordinating the Stockholm region’s bus, metro, commuter train, and local rail services in Sweden.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SL
Target entity description: SL is the public transport authority responsible for operating and coordinating the Stockholm region’s bus, metro, commuter train, and local rail services in Sweden.
  • 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 a German vehicle registration code used on license plates to identify cars registered in the Saalekreis district of Saxony-Anhalt.
  • D. SL
    SL is the vehicle registration code used for the Austrian municipality of Anif in the state of Salzburg.
  • 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_69c0087bcc788190b20f093d3a6c60ec completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c057877b448190aa12d2484102eeaa completed March 22, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11d5c743c81908a3454af2caa10a1 completed March 23, 2026, 11 a.m.
NEDg Description generation batch_69c11ddfc7688190a33a3a2a579788c9 completed March 23, 2026, 11:02 a.m.
NED2 Entity disambiguation (via description) batch_69c11e60f7208190910e57208e7fa7e2 completed March 23, 2026, 11:05 a.m.
Created at: March 22, 2026, 4:11 p.m.