Triple

T21247590
Position Surface form Disambiguated ID Type / Status
Subject Valsugana Railway E523653 entity
Predicate followsRiver P3624 FINISHED
Object Brenta 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: Brenta River | Statement: [Valsugana Railway, followsRiver, Brenta River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brenta River
Context triple: [Valsugana Railway, followsRiver, Brenta River]
  • A. Brenta River chosen
    The Brenta River is a major watercourse in northeastern Italy that flows from the Alps through the Veneto region before emptying into the Adriatic Sea.
  • B. Brenta
    Brenta is a station on Milan’s Metro Line 3 serving the city’s public transportation network.
  • C. Riviera del Brenta
    Riviera del Brenta is a scenic area in northeastern Italy famed for its historic Venetian villas lining the Brenta River between Padua and Venice.
  • D. Riva del Po
    Riva del Po is a municipality in Italy’s Emilia-Romagna region, situated in the Province of Ferrara along the Po River.
  • E. Serchio River
    The Serchio River is a major river in Tuscany, Italy, flowing through the province of Lucca before emptying into the Ligurian Sea.
  • 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_69e0b5146c108190adc9adb73e90abff completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7359b756c819085480ca4174c53c2 completed April 21, 2026, 8:30 a.m.
Created at: April 16, 2026, 3:55 p.m.