Triple

T19069145
Position Surface form Disambiguated ID Type / Status
Subject Campi Bisenzio E466747 entity
Predicate namedAfter P63 FINISHED
Object Bisenzio River 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: Bisenzio River | Statement: [Campi Bisenzio, namedAfter, Bisenzio River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bisenzio River
Context triple: [Campi Bisenzio, namedAfter, Bisenzio River]
  • A. Bisenzio River chosen
    The Bisenzio River is a watercourse in Tuscany, central Italy, that flows through the Prato area before joining the Arno River near Florence.
  • B. Montone River
    The Montone River is a watercourse in the Emilia-Romagna region of northern Italy that flows through the city of Forlì before joining other rivers on its way to the Adriatic Sea.
  • C. Entella River
    The Entella River is a watercourse in the Liguria region of northwestern Italy that flows through the town of Lavagna before emptying into the Ligurian Sea.
  • D. Lega River
    The Lega River is a watercourse in northeastern Poland that flows through the town of Olecko and forms part of the region’s interconnected lakes and river system.
  • E. Meschio River
    The Meschio River is a watercourse in northeastern Italy that flows through the Veneto region before joining the Piave 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_69d8dd04f4488190b1121cc53ef2bfd6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e19caa708190876a2cb06aa0c9cc completed April 20, 2026, 8:19 a.m.
Created at: April 10, 2026, 12:03 p.m.