Triple

T19231818
Position Surface form Disambiguated ID Type / Status
Subject Garessio E480889 entity
Predicate hasRegionCode P3446 FINISHED
Object IT-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: IT-CN | Statement: [Garessio, hasRegionCode, IT-CN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IT-CN
Context triple: [Garessio, hasRegionCode, IT-CN]
  • A. IE-CN
    IE-CN is the ISO 3166-2 code that uniquely identifies County Cavan in the Republic of 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 chosen
    CN is the vehicle registration code used on license plates for the Province of Cuneo in Italy.
  • E. CN
    CN is the commonly used abbreviation for Monaco’s National Council, the unicameral legislative body of the Principality.
  • 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_69d8e8ccb8f48190ad420098e74fb1db completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fa9db56081908f50d318d7fc9eaa completed April 20, 2026, 10:06 a.m.
Created at: April 10, 2026, 1:25 p.m.