Triple

T22965963
Position Surface form Disambiguated ID Type / Status
Subject Province of Novara E571046 entity
Predicate traversedBy P225 FINISHED
Object River Ticino 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: River Ticino | Statement: [Province of Novara, traversedBy, River Ticino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: River Ticino
Context triple: [Province of Novara, traversedBy, River Ticino]
  • A. Ticino River chosen
    The Ticino River is a major river in Switzerland and northern Italy that flows from the Swiss Alps through Lake Maggiore before joining the Po River.
  • B. River Reuss
    The River Reuss is a major Swiss river that flows from the Gotthard region through cities such as Lucerne before joining the Aare.
  • C. Adige
    The Adige is one of Italy’s longest rivers, flowing from the Alpine region of South Tyrol through cities like Bolzano and Verona before emptying into the Adriatic Sea.
  • D. Serchio River
    The Serchio River is a major river in Tuscany, Italy, flowing through the province of Lucca before emptying into the Ligurian Sea.
  • E. Iassogna
    Iassogna is the surname of Dan Iassogna, an American Major League Baseball umpire.
  • 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_69e245b2c6548190a0e4c7f2f7df2d48 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1822e542c8190a865f18e64fc0768 completed April 29, 2026, 3:59 a.m.
Created at: April 17, 2026, 3:47 p.m.