Triple

T38574734
Position Surface form Disambiguated ID Type / Status
Subject Gostynin E929368 entity
Predicate registrationPlateCode P62402 FINISHED
Object EGS 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: EGS | Statement: [Gostynin, registrationPlateCode, EGS]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: registrationPlateCode
Context triple: [Gostynin, registrationPlateCode, EGS]
  • A. vehicleRegistrationCode
    Indicates the official registration identifier assigned to a vehicle, typically used for legal identification and record-keeping.
  • B. registrationPlateFormat
    Indicates the specific pattern or structure that a vehicle’s registration plate must follow (such as the arrangement of letters, numbers, and symbols).
  • C. usesCodeOnPlates chosen
    Indicates that an entity applies or employs a specific code or coding system on plates.
  • D. licensePlateReference
    Indicates a reference or link from one entity to a specific vehicle license plate identifier.
  • E. licensePlateOrigin
    Indicates that a vehicle’s license plate was issued or originates from a particular jurisdiction or region.
  • 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_69f76ebd2248819083978362d81fa35e completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fcdaa36f90819093f8661969990c7d completed May 7, 2026, 6:32 p.m.
PD Predicate disambiguation batch_69fcd8fefc588190b063d7ea1ec87b07 completed May 7, 2026, 6:25 p.m.
Created at: May 3, 2026, 4:32 p.m.