Triple

T14169851
Position Surface form Disambiguated ID Type / Status
Subject Rottweil E351176 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object RW
RW is the vehicle registration code for the Rottweil district in the German state of Baden-Württemberg.
 E1082927 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: RW | Statement: [Rottweil, vehicleRegistrationCode, RW]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RW
Context triple: [Rottweil, vehicleRegistrationCode, RW]
  • A. WR
    WR is the abbreviation for the German Council of Science and Humanities, a key advisory body that counsels the German federal and state governments on science, research, and higher education policy.
  • B. WR
    WR is the postcode area designation covering Worcester and surrounding parts of Worcestershire in England.
  • C. WR
    WR is the station code for Wrocław Główny, the main railway station in Wrocław, Poland.
  • D. WR
    WR is the official abbreviation for the Western Railway zone of Indian Railways, which operates major rail services across western India.
  • E. WR
    WR is the vehicle registration code assigned to the city of Radom in Poland.
  • 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: RW
Triple: [Rottweil, vehicleRegistrationCode, RW]
Generated description
RW is the vehicle registration code for the Rottweil district in the German state of Baden-Württemberg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RW
Target entity description: RW is the vehicle registration code for the Rottweil district in the German state of Baden-Württemberg.
  • A. WR
    WR is the postcode area designation covering Worcester and surrounding parts of Worcestershire in England.
  • B. WR
    WR is the station code for Wrocław Główny, the main railway station in Wrocław, Poland.
  • C. WR
    WR is the official abbreviation for the Western Railway zone of Indian Railways, which operates major rail services across western India.
  • D. WR
    WR is the vehicle registration code assigned to the city of Radom in Poland.
  • E. WR
    WR is the abbreviation for the German Council of Science and Humanities, a key advisory body that counsels the German federal and state governments on science, research, and higher education policy.
  • F. None of above. chosen

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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61b472288190b4a271daa54aa6cd completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7f779248190921c85f99f587296 completed May 7, 2026, 8:37 p.m.
NEDg Description generation batch_69fcf8bb58ac81908e66156a805edda8 completed May 7, 2026, 8:40 p.m.
NED2 Entity disambiguation (via description) batch_69fcf93b528c81908c0ee11908d25574 completed May 7, 2026, 8:42 p.m.
Created at: April 10, 2026, 1:01 a.m.