Triple

T20466503
Position Surface form Disambiguated ID Type / Status
Subject Nußdorf am Haunsberg E502062 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object SL
SL is the vehicle registration code for the Salzburg region in Austria.
E625340 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: [Nußdorf am Haunsberg, vehicleRegistrationCode, SL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SL
Context triple: [Nußdorf am Haunsberg, vehicleRegistrationCode, 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: [Nußdorf am Haunsberg, vehicleRegistrationCode, SL]
Generated description
SL is the vehicle registration code for the Salzburg region in Austria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SL
Target entity description: SL is the vehicle registration code for the Salzburg region in Austria.
  • A. SL chosen
    SL is the vehicle registration code used for the Flachgau (Salzburg-Umgebung) district in the Austrian state of Salzburg.
  • 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 the public transport authority and brand responsible for operating and coordinating the mass transit system in the Stockholm region of Sweden.
  • 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_69e0b4ae5f1081908768b0c9a3a0bf38 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e696aa0794819082c9989b1f7e9f37 completed April 20, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a088b188f208190a8cb7850c209f0de completed May 16, 2026, 3:19 p.m.
NEDg Description generation batch_6a088c8a61cc8190a6c1d4e09257ddfe completed May 16, 2026, 3:26 p.m.
NED2 Entity disambiguation (via description) batch_6a088cf2bb688190b407b12013dd4aa0 completed May 16, 2026, 3:27 p.m.
Created at: April 16, 2026, 11:33 a.m.