Triple

T23402079
Position Surface form Disambiguated ID Type / Status
Subject Province of Biella E559532 entity
Predicate contains P35 FINISHED
Object Lessona
Lessona is a municipality in Italy’s Piedmont region, noted for its wine production and inclusion in the Province of Biella.
 E1583795 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: Lessona | Statement: [Province of Biella, contains, Lessona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lessona
Context triple: [Province of Biella, contains, Lessona]
  • A. Ricadi
    Ricadi is a coastal town and municipality in the Calabria region of southern Italy, known for its scenic beaches and proximity to the popular tourist area of Capo Vaticano.
  • B. Resigaro
    Resigaro is an indigenous Arawakan language of the northwestern Amazon, traditionally spoken by a small community in the Peru–Brazil border region and now critically endangered.
  • C. Opessa
    Opessa was a Shawnee leader known for his role in early 18th-century Native American diplomacy and relations with European colonial powers.
  • D. Yalama
    Yalama is a village and municipality located in the Khachmaz District of northeastern Azerbaijan, near the border with Russia.
  • E. Leme
    Leme is a beachfront neighborhood in Rio de Janeiro known for its quieter stretch of sand adjoining Copacabana and its scenic views of the Atlantic and surrounding hills.
  • 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: Lessona
Triple: [Province of Biella, contains, Lessona]
Generated description
Lessona is a municipality in Italy’s Piedmont region, noted for its wine production and inclusion in the Province of Biella.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lessona
Target entity description: Lessona is a municipality in Italy’s Piedmont region, noted for its wine production and inclusion in the Province of Biella.
  • A. Ricadi
    Ricadi is a coastal town and municipality in the Calabria region of southern Italy, known for its scenic beaches and proximity to the popular tourist area of Capo Vaticano.
  • B. Resigaro
    Resigaro is an indigenous Arawakan language of the northwestern Amazon, traditionally spoken by a small community in the Peru–Brazil border region and now critically endangered.
  • C. Opessa
    Opessa was a Shawnee leader known for his role in early 18th-century Native American diplomacy and relations with European colonial powers.
  • D. Yalama
    Yalama is a village and municipality located in the Khachmaz District of northeastern Azerbaijan, near the border with Russia.
  • E. Leme
    Leme is a beachfront neighborhood in Rio de Janeiro known for its quieter stretch of sand adjoining Copacabana and its scenic views of the Atlantic and surrounding hills.
  • 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_69e24549610c8190a069d6411ce5f661 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1a4e09ccc81909869d2c5f6d68432 completed April 29, 2026, 6:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c5df382b481908b7b2933cfc9e182 completed May 19, 2026, 12:56 p.m.
NEDg Description generation batch_6a0c5f3e57308190865e48b43cc83d10 completed May 19, 2026, 1:01 p.m.
NED2 Entity disambiguation (via description) batch_6a0c5ffbea40819088a5a01a3763c718 completed May 19, 2026, 1:05 p.m.
Created at: April 17, 2026, 5:37 p.m.