Triple

T20181486
Position Surface form Disambiguated ID Type / Status
Subject Valsesia E492736 entity
Predicate hasMunicipality P847 FINISHED
Object Campertogno
Campertogno is a small mountain municipality in the Valsesia valley of northern Italy, known for its alpine scenery and outdoor activities.
E1415719 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: Campertogno | Statement: [Valsesia, hasMunicipality, Campertogno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Campertogno
Context triple: [Valsesia, hasMunicipality, Campertogno]
  • A. Campitello
    Campitello is a small commune in the Haute-Corse department on the island of Corsica in France.
  • B. de Camp
    De Camp is the surname of L. Sprague de Camp, a prominent American science fiction and fantasy author known for his influential works in the mid-20th century.
  • C. Campal
    Campal is a prominent riverside neighborhood in Panaji, Goa, known for its tree-lined avenues, cultural institutions, and recreational spaces.
  • D. Ridgmont
    Ridgmont is a small village and civil parish in Bedfordshire, England, known for its rural character and proximity to the Woburn Estate.
  • E. Escota
    Escota is a French motorway concession and operating company that manages toll road networks in southeastern France as part of the Vinci group.
  • 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: Campertogno
Triple: [Valsesia, hasMunicipality, Campertogno]
Generated description
Campertogno is a small mountain municipality in the Valsesia valley of northern Italy, known for its alpine scenery and outdoor activities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Campertogno
Target entity description: Campertogno is a small mountain municipality in the Valsesia valley of northern Italy, known for its alpine scenery and outdoor activities.
  • A. Campitello
    Campitello is a small commune in the Haute-Corse department on the island of Corsica in France.
  • B. de Camp
    De Camp is the surname of L. Sprague de Camp, a prominent American science fiction and fantasy author known for his influential works in the mid-20th century.
  • C. Campal
    Campal is a prominent riverside neighborhood in Panaji, Goa, known for its tree-lined avenues, cultural institutions, and recreational spaces.
  • D. Ridgmont
    Ridgmont is a small village and civil parish in Bedfordshire, England, known for its rural character and proximity to the Woburn Estate.
  • E. Escota
    Escota is a French motorway concession and operating company that manages toll road networks in southeastern France as part of the Vinci group.
  • 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_69da6268a034819081cbd9ea5a1c9475 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e668eed2e88190b54b15e6545dbdf8 completed April 20, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a083c7dc3bc81909c749262ba4adcd4 completed May 16, 2026, 9:44 a.m.
NEDg Description generation batch_6a083d416d9081909c446f46984e11c1 completed May 16, 2026, 9:47 a.m.
NED2 Entity disambiguation (via description) batch_6a083df6a4f88190be94dd716911c806 completed May 16, 2026, 9:50 a.m.
Created at: April 11, 2026, 11:36 p.m.