Triple

T17103954
Position Surface form Disambiguated ID Type / Status
Subject Diez E415049 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object DIZ
DIZ is the vehicle registration code used on license plates for vehicles registered in the town of Diez in Germany.
E1250464 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: DIZ | Statement: [Diez, vehicleRegistrationCode, DIZ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DIZ
Context triple: [Diez, vehicleRegistrationCode, DIZ]
  • A. DZ
    DZ is the ISO 3166-1 alpha-2 country code for Algeria, a large North African nation on the Mediterranean coast.
  • B. Dizy
    Dizy is a small municipality in the canton of Vaud in western Switzerland.
  • C. Dizzi
    Dizzi is an alternate spelling of "Dizi," a term most commonly referring to the traditional Chinese transverse bamboo flute.
  • D. Dizzia
    Dizzia is the surname of American actress Maria Dizzia, known for her work in film, television, and theater.
  • E. Ddz
    Ddz is the official station code used to identify Dordrecht Zuid railway station in the Netherlands.
  • 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: DIZ
Triple: [Diez, vehicleRegistrationCode, DIZ]
Generated description
DIZ is the vehicle registration code used on license plates for vehicles registered in the town of Diez in Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: DIZ
Target entity description: DIZ is the vehicle registration code used on license plates for vehicles registered in the town of Diez in Germany.
  • A. DZ
    DZ is the ISO 3166-1 alpha-2 country code for Algeria, a large North African nation on the Mediterranean coast.
  • B. Dizy
    Dizy is a small municipality in the canton of Vaud in western Switzerland.
  • C. Dizzi
    Dizzi is an alternate spelling of "Dizi," a term most commonly referring to the traditional Chinese transverse bamboo flute.
  • D. Dizzia
    Dizzia is the surname of American actress Maria Dizzia, known for her work in film, television, and theater.
  • E. Ddz
    Ddz is the official station code used to identify Dordrecht Zuid railway station in the Netherlands.
  • 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dc2591a881909c5f4f7db47f4d6c completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0139ffbe808190a24e827331ee4a6c completed May 11, 2026, 2:07 a.m.
NEDg Description generation batch_6a013ae388548190b09d2c81e1ab0d02 completed May 11, 2026, 2:11 a.m.
NED2 Entity disambiguation (via description) batch_6a013b4df74c81908b3b99e276531e13 completed May 11, 2026, 2:13 a.m.
Created at: April 10, 2026, 5:35 a.m.