Triple

T13110517
Position Surface form Disambiguated ID Type / Status
Subject Greiz E310957 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object GRZ
GRZ is the vehicle registration code used for motor vehicles registered in the town of Greiz in Germany.
 E1023065 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: GRZ | Statement: [Greiz, vehicleRegistrationCode, GRZ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GRZ
Context triple: [Greiz, vehicleRegistrationCode, GRZ]
  • A. GRZ
    GRZ is the IATA airport code for Graz Airport, the main international airport serving the city of Graz in Austria.
  • B. Grósz
    Grósz is a Hungarian surname most notably borne by Károly Grósz, a late-20th-century Hungarian communist politician and former Prime Minister.
  • C. Granitz
    Granitz is a forested hill range and nature reserve on the island of Rügen in Germany, known for its beech woods, scenic landscapes, and the historic hunting lodge Granitz Hunting Lodge.
  • D. Gerzen
    Gerzen is a small municipality in the Lower Bavarian region of southeastern Germany.
  • E. Grojec
    Grojec is a village in southern Poland located in the Lesser Poland region, historically associated with the area around Oświęcim.
  • 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: GRZ
Triple: [Greiz, vehicleRegistrationCode, GRZ]
Generated description
GRZ is the vehicle registration code used for motor vehicles registered in the town of Greiz in Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GRZ
Target entity description: GRZ is the vehicle registration code used for motor vehicles registered in the town of Greiz in Germany.
  • A. GRZ
    GRZ is the IATA airport code for Graz Airport, the main international airport serving the city of Graz in Austria.
  • B. Grósz
    Grósz is a Hungarian surname most notably borne by Károly Grósz, a late-20th-century Hungarian communist politician and former Prime Minister.
  • C. Granitz
    Granitz is a forested hill range and nature reserve on the island of Rügen in Germany, known for its beech woods, scenic landscapes, and the historic hunting lodge Granitz Hunting Lodge.
  • D. Gerzen
    Gerzen is a small municipality in the Lower Bavarian region of southeastern Germany.
  • E. Grojec
    Grojec is a village in southern Poland located in the Lesser Poland region, historically associated with the area around Oświęcim.
  • 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_69d806a872d08190a329806f8ff30df4 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9817e4f408190b77c198b4157d77a completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e27d8110819087ade3537f867ae0 completed May 3, 2026, 5:51 a.m.
NEDg Description generation batch_69f6e4c5e2888190b0bfcdf2cc25ad5f completed May 3, 2026, 6:01 a.m.
NED2 Entity disambiguation (via description) batch_69f6e5979df881909db42a735b9b1064 completed May 3, 2026, 6:05 a.m.
Created at: April 9, 2026, 9:05 p.m.