Triple

T8651429
Position Surface form Disambiguated ID Type / Status
Subject Province of Vicenza E205107 entity
Predicate contains P35 FINISHED
Object Valdagno
Valdagno is a town in northeastern Italy known for its textile industry heritage and location in the Veneto region’s Vicenza province.
 E800303 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: Valdagno | Statement: [Province of Vicenza, contains, Valdagno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Valdagno
Context triple: [Province of Vicenza, contains, Valdagno]
  • A. Legnago
    Legnago is a town in the Veneto region of northern Italy, situated along the Adige River and known historically as a fortified center.
  • B. Possagno
    Possagno is a small town in the Veneto region of northern Italy, best known as the birthplace of the renowned Neoclassical sculptor Antonio Canova.
  • C. Cherasco
    Cherasco is a historic town in Italy’s Piedmont region, known for its medieval architecture, strategic hilltop location, and proximity to renowned wine-producing areas such as Barolo.
  • D. Calolziocorte
    Calolziocorte is a town and municipality in the Lombardy region of northern Italy, situated near Lake Como and the Adda River.
  • E. Mondovì
    Mondovì is a historic town in Italy’s Piedmont region, known for its medieval center, panoramic hilltop views, and rich architectural heritage.
  • 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: Valdagno
Triple: [Province of Vicenza, contains, Valdagno]
Generated description
Valdagno is a town in northeastern Italy known for its textile industry heritage and location in the Veneto region’s Vicenza province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Valdagno
Target entity description: Valdagno is a town in northeastern Italy known for its textile industry heritage and location in the Veneto region’s Vicenza province.
  • A. Legnago
    Legnago is a town in the Veneto region of northern Italy, situated along the Adige River and known historically as a fortified center.
  • B. Possagno
    Possagno is a small town in the Veneto region of northern Italy, best known as the birthplace of the renowned Neoclassical sculptor Antonio Canova.
  • C. Cherasco
    Cherasco is a historic town in Italy’s Piedmont region, known for its medieval architecture, strategic hilltop location, and proximity to renowned wine-producing areas such as Barolo.
  • D. Calolziocorte
    Calolziocorte is a town and municipality in the Lombardy region of northern Italy, situated near Lake Como and the Adda River.
  • E. Mondovì
    Mondovì is a historic town in Italy’s Piedmont region, known for its medieval center, panoramic hilltop views, and rich architectural heritage.
  • 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_69ca834e56848190abb0eeaec9dedd32 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc48150e6c8190a7a3b92b4b640858 completed March 31, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69d121cb33188190b5b70020a041c18f completed April 4, 2026, 2:35 p.m.
NEDg Description generation batch_69d1231adb4481908fac11cae099d0de completed April 4, 2026, 2:41 p.m.
NED2 Entity disambiguation (via description) batch_69d123fcc8f48190838abd08a4af0a63 completed April 4, 2026, 2:45 p.m.
Created at: March 30, 2026, 6:29 p.m.