Triple

T17207452
Position Surface form Disambiguated ID Type / Status
Subject BM E417637 entity
Predicate countryVehicleRegistrationSystem P126408 FINISHED
Object Indonesian vehicle registration plate system 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: Indonesian vehicle registration plate system | Statement: [BM, countryVehicleRegistrationSystem, Indonesian vehicle registration plate system]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: countryVehicleRegistrationSystem
Context triple: [BM, countryVehicleRegistrationSystem, Indonesian vehicle registration plate system]
  • A. vehicleRegistrationAuthority
    Indicates the authority or organization responsible for officially registering a vehicle and maintaining its registration records.
  • B. vehicleRegistrationCode
    Indicates the official registration identifier assigned to a vehicle, typically used for legal identification and record-keeping.
  • C. identifiesVehiclesRegisteredIn
    Indicates that an entity specifies or determines which vehicles are registered within a particular scope or authority.
  • D. vehicleRegistrationCategory
    Indicates the classification or type of registration assigned to a vehicle under a specific regulatory or administrative scheme.
  • E. notableVehicleNumber
    Indicates that a specific vehicle is identified as notable or significant by a particular number or identifier.
  • F. None of above. chosen

Provenance (4 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_69d886d6ba8c819093215917b3d01689 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42dc283648190b2c1f957940024aa completed April 19, 2026, 1:20 a.m.
PD Predicate disambiguation batch_69e3831e354881908c5505ffd15c84e9 completed April 18, 2026, 1:11 p.m.
PDg Predicate description generation batch_69e3873f62108190966c4e741ebd548d completed April 18, 2026, 1:29 p.m.
Created at: April 10, 2026, 5:38 a.m.