Triple

T20295198
Position Surface form Disambiguated ID Type / Status
Subject Bad Dürkheim E505328 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object DÜW
DÜW is the German vehicle registration code for the district of Bad Dürkheim in the state of Rhineland-Palatinate.
 E1422476 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: DÜW | Statement: [Bad Dürkheim, vehicleRegistrationCode, DÜW]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DÜW
Context triple: [Bad Dürkheim, vehicleRegistrationCode, DÜW]
  • A. DWU
    DWU is the municipal water and wastewater utility department serving the city of Dallas, Texas.
  • B. DUS
    DUS is the three-letter IATA code for Düsseldorf Airport, a major international airport in western Germany.
  • C. DWB
    DWB is the abbreviation for the Deutscher Werkbund, a pioneering German association of artists, architects, designers, and industrialists founded in 1907 that significantly influenced modern design and architecture.
  • D. WÜ
    WÜ is the vehicle registration code for the city and district of Würzburg in the Lower Franconia region of Bavaria, Germany.
  • E. Dus
    "Dus" is a 2005 Indian action thriller film known for its ensemble cast, high-octane stunts, and a plot centered on an anti-terrorism mission.
  • 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: DÜW
Triple: [Bad Dürkheim, vehicleRegistrationCode, DÜW]
Generated description
DÜW is the German vehicle registration code for the district of Bad Dürkheim in the state of Rhineland-Palatinate.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DÜW
Target entity description: DÜW is the German vehicle registration code for the district of Bad Dürkheim in the state of Rhineland-Palatinate.
  • A. DWU
    DWU is the municipal water and wastewater utility department serving the city of Dallas, Texas.
  • B. DUS
    DUS is the three-letter IATA code for Düsseldorf Airport, a major international airport in western Germany.
  • C. DWB
    DWB is the abbreviation for the Deutscher Werkbund, a pioneering German association of artists, architects, designers, and industrialists founded in 1907 that significantly influenced modern design and architecture.
  • D. WÜ
    WÜ is the vehicle registration code for the city and district of Würzburg in the Lower Franconia region of Bavaria, Germany.
  • E. Dus
    "Dus" is a 2005 Indian action thriller film known for its ensemble cast, high-octane stunts, and a plot centered on an anti-terrorism mission.
  • 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_69e0b4b8ab648190906e18538c250148 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6770714c4819080e3256325747ebf completed April 20, 2026, 6:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a085a32754c8190a5370068e15e907b completed May 16, 2026, 11:51 a.m.
NEDg Description generation batch_6a085ac5b5f4819083c4d12e9cabc758 completed May 16, 2026, 11:53 a.m.
NED2 Entity disambiguation (via description) batch_6a085bc0781c81909fc53a83291badc0 completed May 16, 2026, 11:57 a.m.
Created at: April 16, 2026, 11:15 a.m.