Triple

T15517828
Position Surface form Disambiguated ID Type / Status
Subject AL E368878 entity
Predicate hasVehicleRegistrationCodeOfCountry P76021 FINISHED
Object AL LITERAL FINISHED

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: AL | Statement: [AL, hasVehicleRegistrationCodeOfCountry, AL]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasVehicleRegistrationCodeOfCountry
Context triple: [AL, hasVehicleRegistrationCodeOfCountry, AL]
  • A. vehicleRegistrationCode
    Indicates the official registration identifier assigned to a vehicle, typically used for legal identification and record-keeping.
  • B. countryOfLicence
    Indicates the country that has issued or granted a particular licence.
  • C. countryOfRegistry
    Indicates the country in which an entity (such as a ship, aircraft, or company) is officially registered.
  • D. licensePlateOrigin chosen
    Indicates that a vehicle’s license plate was issued or originates from a particular jurisdiction or region.
  • E. registrationCountry
    Indicates the country in which an entity is officially registered or incorporated.
  • 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_69d85a1794cc8190b0b428716296e63e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e04033303c8190a87b6384f68a6921 completed April 16, 2026, 1:49 a.m.
PD Predicate disambiguation batch_69ded2896a9c8190a8b9627deb3c17b4 completed April 14, 2026, 11:49 p.m.
Created at: April 10, 2026, 4:03 a.m.