Triple

T4364412
Position Surface form Disambiguated ID Type / Status
Subject Preveza E98737 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object PZ
PZ is the vehicle registration code used on license plates for vehicles registered in the Preveza regional unit of Greece.
 E432880 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: PZ | Statement: [Preveza, vehicleRegistrationCode, PZ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PZ
Context triple: [Preveza, vehicleRegistrationCode, PZ]
  • A. PZB
    PZB is a German train protection system that automatically supervises train speeds and signal observance to prevent accidents such as passing signals at danger.
  • B. GZP
    GZP is the ICAO airline designator assigned to Gazpromavia, the Russian airline owned by the energy company Gazprom.
  • C. ZAZ
    ZAZ is the IATA airport code for Zaragoza Airport, a major civilian and military airfield serving the city of Zaragoza in northeastern Spain.
  • D. PZPR
    PZPR was the ruling communist party that governed the Polish People's Republic from the late 1940s until the fall of communism in 1989.
  • E. PJ
    PJ is a musical artist known for contributing guest performances to other musicians’ tracks.
  • 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: PZ
Triple: [Preveza, vehicleRegistrationCode, PZ]
Generated description
PZ is the vehicle registration code used on license plates for vehicles registered in the Preveza regional unit of Greece.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PZ
Target entity description: PZ is the vehicle registration code used on license plates for vehicles registered in the Preveza regional unit of Greece.
  • A. PZB
    PZB is a German train protection system that automatically supervises train speeds and signal observance to prevent accidents such as passing signals at danger.
  • B. GZP
    GZP is the ICAO airline designator assigned to Gazpromavia, the Russian airline owned by the energy company Gazprom.
  • C. ZAZ
    ZAZ is the IATA airport code for Zaragoza Airport, a major civilian and military airfield serving the city of Zaragoza in northeastern Spain.
  • D. PZPR
    PZPR was the ruling communist party that governed the Polish People's Republic from the late 1940s until the fall of communism in 1989.
  • E. PJ
    PJ is a musical artist known for contributing guest performances to other musicians’ tracks.
  • 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_69b3454c772081908e20173e379e8ebe completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b351fea3e88190807b99868982c491 completed March 12, 2026, 11:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5dbc925d881909fac944bc7ce5407 completed March 14, 2026, 10:06 p.m.
NEDg Description generation batch_69b5dc578b08819095cbf6ba8470d3e0 completed March 14, 2026, 10:08 p.m.
NED2 Entity disambiguation (via description) batch_69b5dd1b03508190a47bb6fb93f22ad8 completed March 14, 2026, 10:11 p.m.
Created at: March 12, 2026, 11:16 p.m.