Triple

T9584575
Position Surface form Disambiguated ID Type / Status
Subject Province of Avellino E231254 entity
Predicate contains P35 FINISHED
Object Solofra
Solofra is a town and municipality in the Campania region of southern Italy, historically known for its leather tanning industry.
 E809009 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: Solofra | Statement: [Province of Avellino, contains, Solofra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Solofra
Context triple: [Province of Avellino, contains, Solofra]
  • A. Fragagnano
    Fragagnano is a small town and comune in the Apulia region of southern Italy, known for its traditional agriculture and proximity to the Ionian coast.
  • B. Quarracino
    Quarracino is an Italian-origin surname most notably associated with Argentine Cardinal Antonio Quarracino.
  • C. Biferno
    Biferno is a river in the Molise region of southern Italy that flows into the Adriatic Sea and is important for local agriculture and hydroelectric power.
  • D. Frescati
    Frescati is an area in northern Stockholm, Sweden, known for hosting Stockholm University and several major cultural and scientific institutions.
  • E. Valperga
    Valperga is a historical novel by Mary Shelley that reimagines the life and times of the 14th-century Italian warlord Castruccio Castracani through a blend of romance, politics, and philosophical reflection.
  • 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: Solofra
Triple: [Province of Avellino, contains, Solofra]
Generated description
Solofra is a town and municipality in the Campania region of southern Italy, historically known for its leather tanning industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Solofra
Target entity description: Solofra is a town and municipality in the Campania region of southern Italy, historically known for its leather tanning industry.
  • A. Fragagnano
    Fragagnano is a small town and comune in the Apulia region of southern Italy, known for its traditional agriculture and proximity to the Ionian coast.
  • B. Quarracino
    Quarracino is an Italian-origin surname most notably associated with Argentine Cardinal Antonio Quarracino.
  • C. Biferno
    Biferno is a river in the Molise region of southern Italy that flows into the Adriatic Sea and is important for local agriculture and hydroelectric power.
  • D. Frescati
    Frescati is an area in northern Stockholm, Sweden, known for hosting Stockholm University and several major cultural and scientific institutions.
  • E. Valperga
    Valperga is a historical novel by Mary Shelley that reimagines the life and times of the 14th-century Italian warlord Castruccio Castracani through a blend of romance, politics, and philosophical reflection.
  • 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_69ca848161688190a68d514a0a9d5129 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd99d080c88190a7d3876589d7b864 completed April 1, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1617cd02c8190a1efbeb5bad0e48e completed April 4, 2026, 7:07 p.m.
NEDg Description generation batch_69d1624400b8819085b1c1a93cddc3f6 completed April 4, 2026, 7:11 p.m.
NED2 Entity disambiguation (via description) batch_69d162b39c888190ae71b05ee2e132a8 completed April 4, 2026, 7:12 p.m.
Created at: March 30, 2026, 8:06 p.m.