Triple

T20891709
Position Surface form Disambiguated ID Type / Status
Subject Valpolicella E514422 entity
Predicate grapeVariety P975 FINISHED
Object Croatina 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: Croatina | Statement: [Valpolicella, grapeVariety, Croatina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Croatina
Context triple: [Valpolicella, grapeVariety, Croatina]
  • A. Croatina chosen
    Croatina is a red Italian wine grape variety, primarily grown in Lombardy and Emilia-Romagna, known for producing deeply colored, fruity wines often used in blends.
  • B. Croatia
    Croatia is a southeastern European country on the Adriatic Sea, known for its historic coastal cities, thousands of islands, and status as a member of both the European Union and NATO.
  • C. Herzegovina
    Herzegovina is a mountainous historical region in the western Balkans that forms the southern part of Bosnia and Herzegovina, known for its diverse cultural heritage and Ottoman-era influences.
  • D. Tursko
    Tursko is a historical settlement known primarily as the site of the medieval Sack of Tursko.
  • E. Slovenia
    Slovenia is a Central European country known for its mountains, lakes, and historic cities, and is a member of both the European Union and the Eurozone.
  • 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_69e0b4f7ebe48190952a85547a0f31a1 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6d05f0bec8190a296db546bd34114 completed April 21, 2026, 1:18 a.m.
Created at: April 16, 2026, 12:46 p.m.