Triple

T15554469
Position Surface form Disambiguated ID Type / Status
Subject Province of Pavia E370832 entity
Predicate contains P35 FINISHED
Object Lomello
Lomello is a historic municipality in the Lombardy region of northern Italy, noted for its medieval architecture and Romanesque church.
 E1166458 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: Lomello | Statement: [Province of Pavia, contains, Lomello]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lomello
Context triple: [Province of Pavia, contains, Lomello]
  • A. Nigoglia
    Nigoglia is the short river in northern Italy that uniquely flows northward out of Lake Orta toward the Strona and ultimately the Toce River.
  • B. Norcino
    Norcino is the Italian demonym for a person from Norcia, a town in the Umbria region of central Italy.
  • C. Calmazzo
    Calmazzo is a locality in the Marche region of central Italy situated along the Metaurus River.
  • D. Talamello
    Talamello is a small Italian town in the Emilia-Romagna region, known for its historic hilltop setting and production of traditional fossa cheese.
  • E. Montagnola
    Montagnola is a village in the Swiss canton of Ticino, known for being the longtime residence and final home of writer Hermann Hesse.
  • 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: Lomello
Triple: [Province of Pavia, contains, Lomello]
Generated description
Lomello is a historic municipality in the Lombardy region of northern Italy, noted for its medieval architecture and Romanesque church.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lomello
Target entity description: Lomello is a historic municipality in the Lombardy region of northern Italy, noted for its medieval architecture and Romanesque church.
  • A. Nigoglia
    Nigoglia is the short river in northern Italy that uniquely flows northward out of Lake Orta toward the Strona and ultimately the Toce River.
  • B. Norcino
    Norcino is the Italian demonym for a person from Norcia, a town in the Umbria region of central Italy.
  • C. Calmazzo
    Calmazzo is a locality in the Marche region of central Italy situated along the Metaurus River.
  • D. Talamello
    Talamello is a small Italian town in the Emilia-Romagna region, known for its historic hilltop setting and production of traditional fossa cheese.
  • E. Montagnola
    Montagnola is a village in the Swiss canton of Ticino, known for being the longtime residence and final home of writer Hermann Hesse.
  • 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04a96c0c88190808f68601a36b506 completed April 16, 2026, 2:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56bf8cac81909886de5b82849cb2 completed May 9, 2026, 3:46 p.m.
NEDg Description generation batch_69ff5752f3188190a70713ebbe928dff completed May 9, 2026, 3:48 p.m.
NED2 Entity disambiguation (via description) batch_69ff57d92abc81909cb63cfb51741116 completed May 9, 2026, 3:50 p.m.
Created at: April 10, 2026, 4:09 a.m.