Triple

T4267217
Position Surface form Disambiguated ID Type / Status
Subject BA E96853 entity
Predicate isPrefixOnLicensePlate P29311 FINISHED
Object true 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: true | Statement: [BA, isPrefixOnLicensePlate, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isPrefixOnLicensePlate
Context triple: [BA, isPrefixOnLicensePlate, true]
  • A. isOnLicensePlateBeforeNumber
    Indicates that one element appears on a license plate in a position preceding a specified number.
  • B. hasPlate
    Indicates that one entity possesses, is equipped with, or includes a plate as part of its attributes or components.
  • C. firstCharactersOfPlate chosen
    Indicates that one entity specifies the initial characters appearing at the beginning of another entity’s license plate identifier.
  • D. licensePlateSystem
    Indicates a system or scheme used to assign, format, and manage license plate identifiers for vehicles.
  • E. vehicleRegistrationCode
    Indicates the official registration identifier assigned to a vehicle, typically used for legal identification and record-keeping.
  • 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_69b34543f06c8190915ebb1a4574ffa9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34fce710481909d90ed4a3d150fde completed March 12, 2026, 11:44 p.m.
PD Predicate disambiguation batch_69b347f8dcb08190a725c1f7fb5a7466 completed March 12, 2026, 11:10 p.m.
Created at: March 12, 2026, 11:07 p.m.