Triple

T20181480
Position Surface form Disambiguated ID Type / Status
Subject Valsesia E492736 entity
Predicate hasMajorTown P316 FINISHED
Object Varallo
Varallo is a historic town in Italy’s Piedmont region, renowned for its Sacro Monte sanctuary and scenic setting in the Valsesia valley.
E1415715 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: Varallo | Statement: [Valsesia, hasMajorTown, Varallo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Varallo
Context triple: [Valsesia, hasMajorTown, Varallo]
  • A. Valla
    Valla is an Italian surname most famously associated with Renaissance humanist and philologist Lorenzo Valla.
  • B. Vaccaro
    Vaccaro is an Italian-origin surname borne by various notable individuals in fields such as acting, sports, and business.
  • C. Diotisalvi
    Diotisalvi was a 12th-century Italian architect best known for designing notable Romanesque buildings in Pisa, including major religious monuments.
  • D. Valsella
    Valsella is a genus of ascomycete fungi in the order Diaporthales, known for species that often occur as plant-associated or plant-pathogenic organisms.
  • E. Veltro
    Veltro is the nickname of the Macchi C.205, an Italian World War II fighter aircraft renowned for its speed and agility.
  • 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: Varallo
Triple: [Valsesia, hasMajorTown, Varallo]
Generated description
Varallo is a historic town in Italy’s Piedmont region, renowned for its Sacro Monte sanctuary and scenic setting in the Valsesia valley.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Varallo
Target entity description: Varallo is a historic town in Italy’s Piedmont region, renowned for its Sacro Monte sanctuary and scenic setting in the Valsesia valley.
  • A. Valla
    Valla is an Italian surname most famously associated with Renaissance humanist and philologist Lorenzo Valla.
  • B. Vaccaro
    Vaccaro is an Italian-origin surname borne by various notable individuals in fields such as acting, sports, and business.
  • C. Diotisalvi
    Diotisalvi was a 12th-century Italian architect best known for designing notable Romanesque buildings in Pisa, including major religious monuments.
  • D. Valsella
    Valsella is a genus of ascomycete fungi in the order Diaporthales, known for species that often occur as plant-associated or plant-pathogenic organisms.
  • E. Veltro
    Veltro is the nickname of the Macchi C.205, an Italian World War II fighter aircraft renowned for its speed and agility.
  • 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.