Triple

T4747707
Position Surface form Disambiguated ID Type / Status
Subject German-speaking Italy E105401 entity
Predicate mainCenter P4751 FINISHED
Object Bressanone E469258 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: Bressanone | Statement: [German-speaking Italy, mainCenter, Bressanone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bressanone
Context triple: [German-speaking Italy, mainCenter, Bressanone]
  • A. Brixen chosen
    Brixen is a historic town in South Tyrol, northern Italy, known for its medieval architecture, Alpine setting, and role as a cultural and religious center in the region.
  • B. Brunico
    Brunico is a historic town and popular tourist center in northern Italy’s Alps, known for its medieval old town, castle, and proximity to the Dolomites.
  • C. Val Gardena
    Val Gardena is a renowned valley in the Dolomites of northern Italy, famous for its alpine scenery, ski resorts, and Ladin-speaking communities.
  • D. Merano
    Merano is a historic spa and resort town in northern Italy known for its mild climate, Alpine scenery, and blend of Italian and Austrian cultural influences.
  • E. Kufstein
    Kufstein is a historic town in the Austrian state of Tyrol, known for its medieval fortress and picturesque setting in the Alps near the German 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_69bd43f07fa48190954317d01600994a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64c567288190a420e6825ee72822 completed March 20, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69be922a8fc08190ad2dd4ffc1697f08 completed March 21, 2026, 12:42 p.m.
Created at: March 20, 2026, 1:20 p.m.