Triple

T2359404
Position Surface form Disambiguated ID Type / Status
Subject Cernobbio E47235 entity
Predicate hasSubdivision P747 FINISHED
Object Tosnacco
Tosnacco is a locality or frazione within the municipality of Cernobbio in the Province of Como, Lombardy, Italy.
 E258071 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: Tosnacco | Statement: [Cernobbio, hasSubdivision, Tosnacco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tosnacco
Context triple: [Cernobbio, hasSubdivision, Tosnacco]
  • A. Tartegnin
    Tartegnin is a small wine-producing municipality in the canton of Vaud in western Switzerland, situated above Lake Geneva in the La Côte region.
  • B. Noresco
    Noresco is an energy services and performance contracting company known for developing and implementing energy efficiency and infrastructure modernization projects.
  • C. Tabarchino
    Tabarchino is a Ligurian-based Romance dialect spoken in parts of Sardinia, particularly on the islands of San Pietro and Sant’Antioco, where it holds recognized regional language status.
  • D. Branobel
    Branobel was a major late-19th-century oil company based in the Russian Empire, founded by members of the Nobel family and influential in the early global petroleum industry.
  • E. Borregaard
    Borregaard is a Norwegian biorefinery company that produces advanced and sustainable bio-based chemicals and materials from wood.
  • 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: Tosnacco
Triple: [Cernobbio, hasSubdivision, Tosnacco]
Generated description
Tosnacco is a locality or frazione within the municipality of Cernobbio in the Province of Como, Lombardy, Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tosnacco
Target entity description: Tosnacco is a locality or frazione within the municipality of Cernobbio in the Province of Como, Lombardy, Italy.
  • A. Tartegnin
    Tartegnin is a small wine-producing municipality in the canton of Vaud in western Switzerland, situated above Lake Geneva in the La Côte region.
  • B. Noresco
    Noresco is an energy services and performance contracting company known for developing and implementing energy efficiency and infrastructure modernization projects.
  • C. Tabarchino
    Tabarchino is a Ligurian-based Romance dialect spoken in parts of Sardinia, particularly on the islands of San Pietro and Sant’Antioco, where it holds recognized regional language status.
  • D. Branobel
    Branobel was a major late-19th-century oil company based in the Russian Empire, founded by members of the Nobel family and influential in the early global petroleum industry.
  • E. Borregaard
    Borregaard is a Norwegian biorefinery company that produces advanced and sustainable bio-based chemicals and materials from wood.
  • 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_69a88a1a4a6081908645b0f2914521ab completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc720b9048190a5d3b19e5e1f373a completed March 7, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae963b84f08190b3ca60db98dd8745 completed March 9, 2026, 9:43 a.m.
NEDg Description generation batch_69ae96fc0b508190b1da6aa41cddc488 completed March 9, 2026, 9:46 a.m.
NED2 Entity disambiguation (via description) batch_69ae977e539c81909cef638cc61e5ec1 completed March 9, 2026, 9:48 a.m.
Created at: March 4, 2026, 7:55 p.m.