Triple

T15442066
Position Surface form Disambiguated ID Type / Status
Subject HP-14 E369928 entity
Predicate vehicleRegistrationPlateType P64323 FINISHED
Object standard vehicle registration plate code 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: standard vehicle registration plate code | Statement: [HP-14, vehicleRegistrationPlateType, standard vehicle registration plate code]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: vehicleRegistrationPlateType
Context triple: [HP-14, vehicleRegistrationPlateType, standard vehicle registration plate code]
  • A. vehicleRegistrationCategory
    Indicates the classification or type of registration assigned to a vehicle under a specific regulatory or administrative scheme.
  • B. registrationPlateFormat chosen
    Indicates the specific pattern or structure that a vehicle’s registration plate must follow (such as the arrangement of letters, numbers, and symbols).
  • C. vehicleRegistrationCode
    Indicates the official registration identifier assigned to a vehicle, typically used for legal identification and record-keeping.
  • D. licensePlateOrigin
    Indicates that a vehicle’s license plate was issued or originates from a particular jurisdiction or region.
  • E. vehicleType
    Indicates the specific kind or category of vehicle associated with an entity (e.g., car, bus, bicycle).
  • 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_69d85a19180081909925012fbf4e62a3 completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ef55f5c8190a32b1b6ad1daf454 completed April 16, 2026, 1:44 a.m.
PD Predicate disambiguation batch_69ded28276f481908c2038bb301e57cf completed April 14, 2026, 11:49 p.m.
Created at: April 10, 2026, 3:21 a.m.