Triple

T8797612
Position Surface form Disambiguated ID Type / Status
Subject Taunusstein E209327 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object RÜD
RÜD is the German vehicle registration code for the Rheingau-Taunus-Kreis district in the state of Hesse.
 E759638 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: RÜD | Statement: [Taunusstein, vehicleRegistrationCode, RÜD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RÜD
Context triple: [Taunusstein, vehicleRegistrationCode, RÜD]
  • A. RÜG
    RÜG is the vehicle registration code used for motor vehicles registered in the district of Vorpommern-Rügen in the German state of Mecklenburg-Vorpommern.
  • B. Rudamun
    Rudamun was a little-known pharaoh of ancient Egypt’s Twenty-third Dynasty who ruled in Upper Egypt during the politically fragmented Third Intermediate Period.
  • C. Rudsak
    Rudsak is a Canadian fashion brand known for its contemporary outerwear, leather goods, and accessories.
  • D. Rudali
    Rudali is a powerful short story by Indian writer Mahasweta Devi that critiques caste, gender, and economic oppression through the lives of professional mourners in rural India.
  • E. Rupbas
    Rupbas is a town located in the historic Braj cultural region of northern India, known for its traditional Braj heritage and proximity to major religious and historical sites.
  • 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: RÜD
Triple: [Taunusstein, vehicleRegistrationCode, RÜD]
Generated description
RÜD is the German vehicle registration code for the Rheingau-Taunus-Kreis district in the state of Hesse.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RÜD
Target entity description: RÜD is the German vehicle registration code for the Rheingau-Taunus-Kreis district in the state of Hesse.
  • A. RÜG
    RÜG is the vehicle registration code used for motor vehicles registered in the district of Vorpommern-Rügen in the German state of Mecklenburg-Vorpommern.
  • B. Rudamun
    Rudamun was a little-known pharaoh of ancient Egypt’s Twenty-third Dynasty who ruled in Upper Egypt during the politically fragmented Third Intermediate Period.
  • C. Rudsak
    Rudsak is a Canadian fashion brand known for its contemporary outerwear, leather goods, and accessories.
  • D. Rudali
    Rudali is a powerful short story by Indian writer Mahasweta Devi that critiques caste, gender, and economic oppression through the lives of professional mourners in rural India.
  • E. Rupbas
    Rupbas is a town located in the historic Braj cultural region of northern India, known for its traditional Braj heritage and proximity to major religious and historical sites.
  • 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_69ca836240888190a62b262e56a69d2f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5fa370d08190885ef65e3a3e56d3 completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6f5d655881909013ac3e2ac0cebb completed April 3, 2026, 7:42 a.m.
NEDg Description generation batch_69cf71c118848190a937ecf714556ef3 completed April 3, 2026, 7:52 a.m.
NED2 Entity disambiguation (via description) batch_69cf744b17e88190b14607e6dff823a3 completed April 3, 2026, 8:03 a.m.
Created at: March 30, 2026, 6:44 p.m.