Triple

T12973880
Position Surface form Disambiguated ID Type / Status
Subject Flos E321470 entity
Predicate headquartersLocation P62 FINISHED
Object Bovezzo
Bovezzo is a small municipality in the province of Brescia in the Lombardy region of northern Italy.
E1020838 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: Bovezzo | Statement: [Flos, headquartersLocation, Bovezzo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bovezzo
Context triple: [Flos, headquartersLocation, Bovezzo]
  • A. Pieve Tesino
    Pieve Tesino is a small village in Trentino, northern Italy, best known as the birthplace of statesman and founding father of the European Union Alcide De Gasperi.
  • B. Calolziocorte
    Calolziocorte is a town and municipality in the Lombardy region of northern Italy, situated near Lake Como and the Adda River.
  • C. Possagno
    Possagno is a small town in the Veneto region of northern Italy, best known as the birthplace of the renowned Neoclassical sculptor Antonio Canova.
  • D. Lumezzane
    Lumezzane is an Italian football club based in the town of Lumezzane in Lombardy, known for developing players such as Mario Balotelli.
  • E. Varenna
    Varenna is a picturesque historic village in northern Italy known for its colorful lakeside houses, romantic promenades, and scenic views over Lake Como.
  • 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: Bovezzo
Triple: [Flos, headquartersLocation, Bovezzo]
Generated description
Bovezzo is a small municipality in the province of Brescia in the Lombardy region of northern Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bovezzo
Target entity description: Bovezzo is a small municipality in the province of Brescia in the Lombardy region of northern Italy.
  • A. Pieve Tesino
    Pieve Tesino is a small village in Trentino, northern Italy, best known as the birthplace of statesman and founding father of the European Union Alcide De Gasperi.
  • B. Calolziocorte
    Calolziocorte is a town and municipality in the Lombardy region of northern Italy, situated near Lake Como and the Adda River.
  • C. Possagno
    Possagno is a small town in the Veneto region of northern Italy, best known as the birthplace of the renowned Neoclassical sculptor Antonio Canova.
  • D. Lumezzane
    Lumezzane is an Italian football club based in the town of Lumezzane in Lombardy, known for developing players such as Mario Balotelli.
  • E. Varenna
    Varenna is a picturesque historic village in northern Italy known for its colorful lakeside houses, romantic promenades, and scenic views over Lake Como.
  • 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_69d80763bd6c819094437da5b20b01d2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e4322c08190abd43daadf16097f completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d5f4bedc81909b8dfa79a842e12d completed May 3, 2026, 4:58 a.m.
NEDg Description generation batch_69f6da5695508190a96ca16a4e5c01ee completed May 3, 2026, 5:17 a.m.
NED2 Entity disambiguation (via description) batch_69f6daeae96081908f6d9cda3ff7f961 completed May 3, 2026, 5:19 a.m.
Created at: April 9, 2026, 8:36 p.m.