Triple

T3259757
Position Surface form Disambiguated ID Type / Status
Subject Province of Viterbo E68380 entity
Predicate contains P35 FINISHED
Object Bolsena E67989 NE FINISHED

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: Bolsena | Statement: [Province of Viterbo, contains, Bolsena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bolsena
Context triple: [Province of Viterbo, contains, Bolsena]
  • A. Fiumelatte
    Fiumelatte is a small Italian village on Lake Como known for its short, seasonally flowing “milk-colored” river, considered one of the shortest rivers in Italy.
  • B. Lake Bolsena chosen
    Lake Bolsena is a large volcanic crater lake in central Italy, renowned for its clear waters, scenic surroundings, and historical lakeside towns.
  • C. Capolago
    Capolago is a village in the canton of Ticino in southern Switzerland, located on the shore of Lake Lugano near the Italian border.
  • D. Cesenatico
    Cesenatico is a historic Adriatic seaside town in Italy, renowned for its canal harbor designed by Leonardo da Vinci and its popular beach tourism.
  • E. Serravalle
    Serravalle is the most populous municipality of San Marino, known for its commercial centers and proximity to the Italian border.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ad858f74408190bcbd07f967cd7bd0 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adafa673a481909b5024b4e0e1c2a7 completed March 8, 2026, 5:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f3c18ac481909bfeb553de1d2a55 completed March 12, 2026, 5:11 p.m.
Created at: March 8, 2026, 3:09 p.m.