Triple

T20277224
Position Surface form Disambiguated ID Type / Status
Subject Verona Porta Nuova railway station E503046 entity
Predicate connectsTo P845 FINISHED
Object Trento 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: Trento | Statement: [Verona Porta Nuova railway station, connectsTo, Trento]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trento
Context triple: [Verona Porta Nuova railway station, connectsTo, Trento]
  • A. Trento chosen
    Trento is a historic city in northern Italy, known as the capital of Trentino and for its significant role in Catholic history and Alpine culture.
  • B. Udine
    Udine is a historic city in northeastern Italy’s Friuli region, known for its medieval center, Venetian-influenced architecture, and role as an important political and cultural hub.
  • C. Bolzano
    Bolzano is a bilingual Italian city in the South Tyrol region, known for its Alpine setting, mix of Italian and Austrian cultures, and as the home of the famous Ötzi the Iceman museum.
  • D. Bolzano
    Bolzano was an Italian Zara-class heavy cruiser of the Regia Marina that served during World War II in the Mediterranean Sea.
  • E. Brescia
    Brescia is a historic industrial and cultural city in northern Italy, known for its Roman and medieval architecture and its role as an economic hub.
  • 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_69e0b4b0e79c8190bd61f22ef1329fa8 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e675e4cdfc81908c7cb4519a7d744b completed April 20, 2026, 6:52 p.m.
Created at: April 16, 2026, 10:35 a.m.