Triple

T19231813
Position Surface form Disambiguated ID Type / Status
Subject Garessio E480889 entity
Predicate locatedOnRiver P165 FINISHED
Object Tanaro 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: Tanaro | Statement: [Garessio, locatedOnRiver, Tanaro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tanaro
Context triple: [Garessio, locatedOnRiver, Tanaro]
  • A. Tanaro chosen
    The Tanaro is a major river in northwestern Italy that flows through the regions of Piedmont and Liguria before joining the Po.
  • B. Po River
    The Po River is the longest river in Italy, flowing eastward across northern Italy’s plains to the Adriatic Sea and serving as a major geographic and economic artery for the region.
  • C. Serchio River
    The Serchio River is a major river in Tuscany, Italy, flowing through the province of Lucca before emptying into the Ligurian Sea.
  • D. Vallesina
    Vallesina is a valley area in Italy’s Marche region, known for its historic towns, agricultural landscapes, and Verdicchio wine production.
  • E. Parma River
    The Parma River is a watercourse in the Emilia-Romagna region of northern Italy that flows through the city of Parma before joining the Po River.
  • 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.