Triple

T11723913
Position Surface form Disambiguated ID Type / Status
Subject Busto Arsizio E278709 entity
Predicate hasRailConnectionTo P848 FINISHED
Object Novara E580829 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: Novara | Statement: [Busto Arsizio, hasRailConnectionTo, Novara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Novara
Context triple: [Busto Arsizio, hasRailConnectionTo, Novara]
  • A. Novara chosen
    Novara is a city in the Piedmont region of northern Italy, known for its historic center, rice cultivation in the surrounding plains, and role as an important local economic and cultural hub.
  • B. Biella
    Biella is a city in the Piedmont region of northern Italy, known for its textile industry and Alpine foothill setting.
  • C. Voghera
    Voghera is a town in the Lombardy region of northern Italy, known historically as a local agricultural and commercial center.
  • D. Cuneo
    Cuneo is a city in the Piedmont region of northwestern Italy, known for its Alpine setting, agricultural traditions, and use of the Piedmontese language.
  • E. Treviglio
    Treviglio is a historic town in northern Italy’s Lombardy region, known for its medieval center, agricultural traditions, and role as a local commercial and transport hub.
  • 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_69d6aaffec6881908bead509e8621742 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4d603cc8190b2e68d0bdd793362 completed April 10, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69f61e33557c8190a724bb45c59abc63 completed May 2, 2026, 3:54 p.m.
Created at: April 8, 2026, 9:41 p.m.