Triple

T19677202
Position Surface form Disambiguated ID Type / Status
Subject Tresinaro E472484 entity
Predicate tributaryOf P415 FINISHED
Object Secchia 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: Secchia | Statement: [Tresinaro, tributaryOf, Secchia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Secchia
Context triple: [Tresinaro, tributaryOf, Secchia]
  • A. Secchia chosen
    The Secchia is a river in northern Italy that flows through the Emilia-Romagna region and is one of the main tributaries contributing to the Po River system.
  • B. Rescigno
    Rescigno is an Italian surname associated with figures such as conductor Nicola Rescigno, known for his contributions to opera and classical music.
  • C. Carrù
    Carrù is a small town in Italy’s Piedmont region, known as the birthplace of former Italian President Luigi Einaudi and for its wine and truffle traditions.
  • D. Talamello
    Talamello is a small Italian town in the Emilia-Romagna region, known for its historic hilltop setting and production of traditional fossa cheese.
  • E. Vignale
    Vignale is a locality historically associated with the Italian coastal principality centered on Piombino in Tuscany.
  • 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_69d8e514f2e08190ba70a4449519d218 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e641bceef881909c5b655af709c8c6 completed April 20, 2026, 3:09 p.m.
Created at: April 10, 2026, 1:45 p.m.