Triple

T6619624
Position Surface form Disambiguated ID Type / Status
Subject Zielona Góra E149641 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object FZ
FZ is the vehicle registration code assigned to cars registered in the city of Zielona Góra in western Poland.
 E608097 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: FZ | Statement: [Zielona Góra, vehicleRegistrationCode, FZ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FZ
Context triple: [Zielona Góra, vehicleRegistrationCode, FZ]
  • A. FZ
    FZ is the IATA airline designator assigned to flydubai, the low-cost carrier based in Dubai, United Arab Emirates.
  • B. FZNP
    FZNP is the ICAO airport code for Beni Airport, a regional airfield serving the city of Beni in the Democratic Republic of the Congo.
  • C. FÜ
    FÜ is the vehicle registration code used on license plates for the city of Fürth in Bavaria, Germany.
  • D. ZFD
    ZFD is the National Rail station code used to identify Farringdon railway station in London.
  • E. FnZ
    FnZ is a hip-hop production duo known for crafting atmospheric, hard-hitting beats for prominent rap artists.
  • 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: FZ
Triple: [Zielona Góra, vehicleRegistrationCode, FZ]
Generated description
FZ is the vehicle registration code assigned to cars registered in the city of Zielona Góra in western Poland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FZ
Target entity description: FZ is the vehicle registration code assigned to cars registered in the city of Zielona Góra in western Poland.
  • A. FZ
    FZ is the IATA airline designator assigned to flydubai, the low-cost carrier based in Dubai, United Arab Emirates.
  • B. FZNP
    FZNP is the ICAO airport code for Beni Airport, a regional airfield serving the city of Beni in the Democratic Republic of the Congo.
  • C. FÜ
    FÜ is the vehicle registration code used on license plates for the city of Fürth in Bavaria, Germany.
  • D. ZFD
    ZFD is the National Rail station code used to identify Farringdon railway station in London.
  • E. FnZ
    FnZ is a hip-hop production duo known for crafting atmospheric, hard-hitting beats for prominent rap artists.
  • 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_69c687ed8a9c81908bb671717cb192ef completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af5ca97481909f8a7dc47249b4d3 completed March 27, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e4461e748190b4feead6ef16a01c completed March 27, 2026, 8:10 p.m.
NEDg Description generation batch_69c6e4ea6f6881909b85e33120dffc18 completed March 27, 2026, 8:13 p.m.
NED2 Entity disambiguation (via description) batch_69c6e8fcde0c8190baa4cac159b8e590 completed March 27, 2026, 8:30 p.m.
Created at: March 27, 2026, 1:58 p.m.