Triple

T19316251
Position Surface form Disambiguated ID Type / Status
Subject Garessio E483103 entity
Predicate hasVehicleRegistrationCode P1173 FINISHED
Object CN 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: CN | Statement: [Garessio, hasVehicleRegistrationCode, CN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CN
Context triple: [Garessio, hasVehicleRegistrationCode, CN]
  • A. CN
    CN is the vehicle registration code used for County Cavan in Ireland.
  • B. CN
    CN is the European Union’s standardized system for classifying goods in customs and trade statistics, used to determine tariffs and collect trade data.
  • C. CN
    CN is a major Canadian freight railway company that operates an extensive rail network across Canada and into the United States.
  • D. CN
    CN is the commonly used abbreviation for Monaco’s National Council, the unicameral legislative body of the Principality.
  • E. CN chosen
    CN is the vehicle registration code used on license plates for the Province of Cuneo in Italy.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d04d5c8190baa816986f2b1d1e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e60d843640819089ff3738aae29eb1 completed April 20, 2026, 11:27 a.m.
Created at: April 10, 2026, 1:32 p.m.