Triple

T29894774
Position Surface form Disambiguated ID Type / Status
Subject Italian vehicle registration plate system E759247 entity
Predicate includesProvincialCode P99880 FINISHED
Object RO 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: RO | Statement: [Italian vehicle registration plate system, includesProvincialCode, RO]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: includesProvincialCode
Context triple: [Italian vehicle registration plate system, includesProvincialCode, RO]
  • A. hasProvincialCode chosen
    Indicates that an entity is associated with a specific provincial code that identifies its province or administrative region.
  • B. isProvincial
    Indicates that something belongs to, is characteristic of, or is administered at the level of a province rather than a national or local level.
  • C. includesStateOrProvince
    Indicates that one entity geographically contains or encompasses a specific state or province within its boundaries.
  • D. isInProvince
    Indicates that one entity (typically a place or city) is located within the administrative boundaries of a specified province.
  • E. hasProvinceOrRegion
    Indicates that one entity includes, is associated with, or is located within a specific province or region as an administrative or geographic subdivision.
  • 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_69f2245f1cf88190978c70d1a1d2cb73 completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_6a001cc0ff588190bb7c8a6fd427d02b completed May 10, 2026, 5:50 a.m.
PD Predicate disambiguation batch_6a001b3ea18c8190aeda7a32b2697490 completed May 10, 2026, 5:44 a.m.
Created at: April 29, 2026, 6:04 p.m.