Triple

T6253629
Position Surface form Disambiguated ID Type / Status
Subject Province of Ravenna E140106 entity
Predicate contains P35 FINISHED
Object Brisighella
Brisighella is a historic medieval hill town in Italy’s Emilia-Romagna region, known for its picturesque three hills, ancient fortifications, and thermal springs.
 E580129 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: Brisighella | Statement: [Province of Ravenna, contains, Brisighella]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Brisighella
Context triple: [Province of Ravenna, contains, Brisighella]
  • A. Agnone
    Agnone is a historic hill town in southern Italy renowned for its ancient bell foundry and well-preserved medieval center.
  • B. Camporosso
    Camporosso is a small Italian town in the Liguria region, near the French border and the Riviera coastline.
  • C. Alpignano
    Alpignano is a town in the Piedmont region of northwestern Italy, located near Turin in the Susa Valley.
  • D. Ghisonaccia
    Ghisonaccia is a coastal commune in eastern Corsica, France, known for its beaches, agricultural plain, and tourism activities.
  • E. Colle di Nava
    Colle di Nava is a mountain pass in the Ligurian Alps of northwestern Italy, serving as a key route between the Ligurian coast and the Piedmont region.
  • 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: Brisighella
Triple: [Province of Ravenna, contains, Brisighella]
Generated description
Brisighella is a historic medieval hill town in Italy’s Emilia-Romagna region, known for its picturesque three hills, ancient fortifications, and thermal springs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Brisighella
Target entity description: Brisighella is a historic medieval hill town in Italy’s Emilia-Romagna region, known for its picturesque three hills, ancient fortifications, and thermal springs.
  • A. Agnone
    Agnone is a historic hill town in southern Italy renowned for its ancient bell foundry and well-preserved medieval center.
  • B. Camporosso
    Camporosso is a small Italian town in the Liguria region, near the French border and the Riviera coastline.
  • C. Alpignano
    Alpignano is a town in the Piedmont region of northwestern Italy, located near Turin in the Susa Valley.
  • D. Ghisonaccia
    Ghisonaccia is a coastal commune in eastern Corsica, France, known for its beaches, agricultural plain, and tourism activities.
  • E. Colle di Nava
    Colle di Nava is a mountain pass in the Ligurian Alps of northwestern Italy, serving as a key route between the Ligurian coast and the Piedmont region.
  • 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_69c008b4858c819095b0199114a9a87b completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063625608819081f5422112c80ce5 completed March 22, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c2442a556081908b91e7d999a82514 completed March 24, 2026, 7:58 a.m.
NEDg Description generation batch_69c4fb6ab25081909bce29ecee57cb42 completed March 26, 2026, 9:24 a.m.
NED2 Entity disambiguation (via description) batch_69c4fc5c18088190ba2ee0d182d7f3c2 completed March 26, 2026, 9:29 a.m.
Created at: March 22, 2026, 4:24 p.m.