Triple

T29421371
Position Surface form Disambiguated ID Type / Status
Subject FI E746164 entity
Predicate usedInVehicleRegistrationCodes P62402 FINISHED
Object FIN 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: FIN | Statement: [FI, usedInVehicleRegistrationCodes, FIN]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedInVehicleRegistrationCodes
Context triple: [FI, usedInVehicleRegistrationCodes, FIN]
  • A. vehicleRegistrationCode
    Indicates the official registration identifier assigned to a vehicle, typically used for legal identification and record-keeping.
  • B. vehicleCode
    Indicates a relationship where a specific code or identifier is assigned to or associated with a vehicle.
  • C. usesCodeOnPlates chosen
    Indicates that an entity applies or employs a specific code or coding system on plates.
  • D. usedOnOfficialPlatesIn
    Indicates that something is employed or displayed on official license plates within a specified jurisdiction or region.
  • E. usedInCar
    Indicates that something is utilized as a component, feature, or element within a car.
  • 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_69f0a79f6d5c8190a350baed0157e06f completed April 28, 2026, 12:27 p.m.
NER Named-entity recognition batch_69fcc7338120819081cb46547d60f2cb completed May 7, 2026, 5:09 p.m.
PD Predicate disambiguation batch_69fcc58566a0819082d5ea36e03bf0c6 completed May 7, 2026, 5:01 p.m.
Created at: April 28, 2026, 3:06 p.m.