Triple

T6602961
Position Surface form Disambiguated ID Type / Status
Subject Metropolitan City of Bologna E149044 entity
Predicate contains P35 FINISHED
Object Dozza
Dozza is a picturesque medieval hilltop village in Italy’s Emilia-Romagna region, renowned for its castle and open-air mural art.
 E607293 NE FINISHED

How this triple was built (4 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: Dozza | Statement: [Metropolitan City of Bologna, contains, Dozza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dozza
Context triple: [Metropolitan City of Bologna, contains, Dozza]
  • A. Birra Moretti
    Birra Moretti is a traditional Italian beer brand known for its classic lager and iconic mustachioed man logo, now distributed internationally.
  • B. Caffè Torino
    Caffè Torino is a historic and elegant café in Turin, Italy, renowned for its classic Belle Époque atmosphere and role as a traditional meeting place for locals and visitors.
  • C. Lavazza
    Lavazza is a major Italian coffee company renowned worldwide for its espresso blends and coffee products.
  • D. Bega
    Bega is a river in Central and Southeastern Europe that flows through Romania and Serbia, including the city of Zrenjanin.
  • E. Bega
    Bega is a rural town in New South Wales, Australia, best known as a major dairy and cheese-producing centre.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Dozza
Triple: [Metropolitan City of Bologna, contains, Dozza]
Generated description
Dozza is a picturesque medieval hilltop village in Italy’s Emilia-Romagna region, renowned for its castle and open-air mural art.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dozza
Target entity description: Dozza is a picturesque medieval hilltop village in Italy’s Emilia-Romagna region, renowned for its castle and open-air mural art.
  • A. Birra Moretti
    Birra Moretti is a traditional Italian beer brand known for its classic lager and iconic mustachioed man logo, now distributed internationally.
  • B. Caffè Torino
    Caffè Torino is a historic and elegant café in Turin, Italy, renowned for its classic Belle Époque atmosphere and role as a traditional meeting place for locals and visitors.
  • C. Lavazza
    Lavazza is a major Italian coffee company renowned worldwide for its espresso blends and coffee products.
  • D. Bega
    Bega is a river in Central and Southeastern Europe that flows through Romania and Serbia, including the city of Zrenjanin.
  • E. Bega
    Bega is a rural town in New South Wales, Australia, best known as a major dairy and cheese-producing centre.
  • F. None of above. chosen

Provenance (5 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_69c687eaa7508190bb58ce2aa02039b3 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af10303081909541a140f8898979 completed March 27, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e43860f081908fbf1ec65bdad940 completed March 27, 2026, 8:10 p.m.
NEDg Description generation batch_69c6e4e9c344819099ad11c21c2e4a6e completed March 27, 2026, 8:13 p.m.
NED2 Entity disambiguation (via description) batch_69c6e581a4f88190b1f64033a49d1bae completed March 27, 2026, 8:16 p.m.
Created at: March 27, 2026, 1:56 p.m.