Triple

T20021696
Position Surface form Disambiguated ID Type / Status
Subject Zduńska Wola E494875 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object EZD
EZD is the vehicle registration code assigned to motor vehicles registered in the city of Zduńska Wola in central Poland.
E1408007 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: EZD | Statement: [Zduńska Wola, vehicleRegistrationCode, EZD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EZD
Context triple: [Zduńska Wola, vehicleRegistrationCode, EZD]
  • A. EZE
    EZE is the IATA airport code for Ministro Pistarini International Airport, the main international gateway serving Buenos Aires, Argentina.
  • B. EZE
    EZE is the ICAO airline designator assigned to Eastern Airways, a British regional airline.
  • C. EZV
    EZV is the German abbreviation for Switzerland’s Federal Customs Administration, the national authority responsible for customs, border security, and related fiscal and regulatory controls.
  • D. Edzná
    Edzná is an ancient Maya archaeological site in the Mexican state of Campeche, known for its impressive pyramids, plazas, and sophisticated hydraulic systems.
  • E. ZE
    ZE is the postcode area covering the Shetland Islands in Scotland.
  • 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: EZD
Triple: [Zduńska Wola, vehicleRegistrationCode, EZD]
Generated description
EZD is the vehicle registration code assigned to motor vehicles registered in the city of Zduńska Wola in central Poland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: EZD
Target entity description: EZD is the vehicle registration code assigned to motor vehicles registered in the city of Zduńska Wola in central Poland.
  • A. EZE
    EZE is the IATA airport code for Ministro Pistarini International Airport, the main international gateway serving Buenos Aires, Argentina.
  • B. EZE
    EZE is the ICAO airline designator assigned to Eastern Airways, a British regional airline.
  • C. EZV
    EZV is the German abbreviation for Switzerland’s Federal Customs Administration, the national authority responsible for customs, border security, and related fiscal and regulatory controls.
  • D. Edzná
    Edzná is an ancient Maya archaeological site in the Mexican state of Campeche, known for its impressive pyramids, plazas, and sophisticated hydraulic systems.
  • E. ZE
    ZE is the postcode area covering the Shetland Islands in Scotland.
  • 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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6623fe1988190a1c09d392d866dc8 completed April 20, 2026, 5:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a080e2af45881909f0d8dfe55bdef8e completed May 16, 2026, 6:26 a.m.
NEDg Description generation batch_6a080fcaa49881908016c87f2aeb880f completed May 16, 2026, 6:33 a.m.
NED2 Entity disambiguation (via description) batch_6a0813a9147c8190ad9f98ab36b363e2 completed May 16, 2026, 6:50 a.m.
Created at: April 11, 2026, 3:35 p.m.