Triple

T4912405
Position Surface form Disambiguated ID Type / Status
Subject Stockholm bus network E110263 entity
Predicate operatorAbbreviation P43 FINISHED
Object SL
SL is the public transport authority responsible for planning and overseeing most of the public transit system in the Stockholm region of 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: [Stockholm bus network, operatorAbbreviation, SL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SL
Context triple: [Stockholm bus network, operatorAbbreviation, 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 vehicle registration code used for the Austrian municipality of Anif in the state of Salzburg.
  • 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 IATA airline designator code assigned to SAS Ireland, a subsidiary carrier of Scandinavian Airlines.
  • E. 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.
  • 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: [Stockholm bus network, operatorAbbreviation, SL]
Generated description
SL is the public transport authority responsible for planning and overseeing most of the public transit system in the Stockholm region of 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 planning and overseeing most of the public transit system in the Stockholm region of 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 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_69bd44132b94819088522d92beaadc78 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e9c32148190a940a3733ecd1898 completed March 20, 2026, 3:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6fe7a0f48190b666202a97b32c7d completed March 21, 2026, 10:16 a.m.
NEDg Description generation batch_69be70b15c508190bcd723862b8e9633 completed March 21, 2026, 10:19 a.m.
NED2 Entity disambiguation (via description) batch_69be7139a288819087598a7da8c6ad42 completed March 21, 2026, 10:21 a.m.
Created at: March 20, 2026, 1:29 p.m.