Triple

T5281341
Position Surface form Disambiguated ID Type / Status
Subject Saltsjöbanan E119504 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: [Saltsjöbanan, operator, SL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SL
Context triple: [Saltsjöbanan, 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 vehicle registration code used for the Austrian municipality of Anif in the state of Salzburg.
  • 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 of the Vauxhall Viva that added extra comfort and cosmetic features over the base model.
  • 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: [Saltsjöbanan, 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_69bd446d05a8819092ad333a3f9c8d5c completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd84c5212481909cb3b5f43c0eedc0 completed March 20, 2026, 5:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf06e27b5081908b755a817d4c260a completed March 21, 2026, 9 p.m.
NEDg Description generation batch_69bf08bf26448190bd3a3f632ea79d85 completed March 21, 2026, 9:08 p.m.
NED2 Entity disambiguation (via description) batch_69bf091f09f88190aa382387e6b94662 completed March 21, 2026, 9:09 p.m.
Created at: March 20, 2026, 1:52 p.m.