Triple

T27435404
Position Surface form Disambiguated ID Type / Status
Subject Strzelin County E690765 entity
Predicate vehicleRegistrationCountry P126408 FINISHED
Object Poland NE NERFINISHED

How this triple was built (2 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: Poland | Statement: [Strzelin County, vehicleRegistrationCountry, Poland]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: vehicleRegistrationCountry
Context triple: [Strzelin County, vehicleRegistrationCountry, Poland]
  • A. countryOfRegistry
    Indicates the country in which an entity (such as a ship, aircraft, or company) is officially registered.
  • B. countryOfLicence
    Indicates the country that has issued or granted a particular licence.
  • C. countryVehicleRegistrationSystem chosen
    Indicates a relationship where a country maintains or governs an official system for registering vehicles within its jurisdiction.
  • D. licensePlateOrigin
    Indicates that a vehicle’s license plate was issued or originates from a particular jurisdiction or region.
  • E. vehicleRegistrationAuthority
    Indicates the authority or organization responsible for officially registering a vehicle and maintaining its registration records.
  • F. None of above.

Provenance (3 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_69ef5200fa0481908e28508d6e2c149e completed April 27, 2026, 12:09 p.m.
NER Named-entity recognition batch_69f6359e3d3c81909814e2f0a7fb0ea9 completed May 2, 2026, 5:34 p.m.
PD Predicate disambiguation batch_69f631871c888190bf29466fe4254e51 completed May 2, 2026, 5:16 p.m.
Created at: April 27, 2026, 12:43 p.m.