Triple

T20405159
Position Surface form Disambiguated ID Type / Status
Subject Helenelund E500447 entity
Predicate railOperator P522 FINISHED
Object SL
SL is the public transport authority for the Stockholm region in Sweden, 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: [Helenelund, railOperator, SL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SL
Context triple: [Helenelund, railOperator, 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 a mid-range trim level designation used by Holden for certain Torana models, offering additional comfort and convenience features over the base variants.
  • D. SL
    SL is the two-letter ISO country code for Sierra Leone, a West African nation on the Atlantic coast.
  • E. SL
    SL is the post-nominal abbreviation used in Finland to denote a person who has been awarded a decoration of the Order of the Lion of Finland.
  • 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: [Helenelund, railOperator, SL]
Generated description
SL is the public transport authority for the Stockholm region in Sweden, 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 in Sweden, 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 Flachgau (Salzburg-Umgebung) district in the Austrian state of Salzburg.
  • 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 German vehicle registration code used on license plates to identify cars registered in the Saalekreis district of Saxony-Anhalt.
  • 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_69e0b4a81bec8190b69adfdc1336a015 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6799161c48190825eca3027d1aa51 completed April 20, 2026, 7:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a087b1a1328819094815b69aa19daab completed May 16, 2026, 2:11 p.m.
NEDg Description generation batch_6a088014c30c8190937586dc3f23862e completed May 16, 2026, 2:32 p.m.
NED2 Entity disambiguation (via description) batch_6a08810e37c08190bd7e8b584204064c completed May 16, 2026, 2:37 p.m.
Created at: April 16, 2026, 11:29 a.m.