Triple

T17821703
Position Surface form Disambiguated ID Type / Status
Subject 千歳市 E444999 entity
Predicate 車両ナンバーコード P1173 FINISHED
Object 札幌ナンバー 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: 札幌ナンバー | Statement: [千歳市, 車両ナンバーコード, 札幌ナンバー]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 車両ナンバーコード
Context triple: [千歳市, 車両ナンバーコード, 札幌ナンバー]
  • A. vehicleRegistrationCode chosen
    Indicates the official registration identifier assigned to a vehicle, typically used for legal identification and record-keeping.
  • B. notableVehicleNumber
    Indicates that a specific vehicle is identified as notable or significant by a particular number or identifier.
  • C. registrationNumber
    Indicates the unique identifier assigned to an entity as part of an official or formal registration process.
  • D. chassisCode
    Indicates the specific chassis designation or code assigned to a vehicle model to distinguish its underlying structural platform or variant.
  • E. usesCodeOnPlates
    Indicates that an entity applies or employs a specific code or coding system on plates.
  • 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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48911b660819097fc7ea94665a02a completed April 19, 2026, 7:49 a.m.
PD Predicate disambiguation batch_69e3d8e266888190ae976b4b7d5b886f completed April 18, 2026, 7:17 p.m.
Created at: April 10, 2026, 10:15 a.m.