Triple

T1321583
Position Surface form Disambiguated ID Type / Status
Subject Piedmont E28229 entity
Predicate containsCity P294 FINISHED
Object Verbania
Verbania is a lakeside city in northern Italy, situated on the shores of Lake Maggiore near the Swiss border.
 E178417 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: Verbania | Statement: [Piedmont, containsCity, Verbania]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Verbania
Context triple: [Piedmont, containsCity, Verbania]
  • A. Khandala
    Khandala is a popular hill station in Maharashtra, India, known for its scenic valleys, waterfalls, and trekking spots in the Western Ghats.
  • B. Yavatmal
    Yavatmal is a city in the Indian state of Maharashtra, known as a regional center in the Vidarbha area with a predominantly agrarian economy.
  • C. Kadamtala
    Kadamtala is a small settlement located on Middle Andaman Island in the Andaman and Nicobar Islands of India.
  • D. Panna
    Panna is a town in central India renowned for its diamond mines and proximity to Panna National Park, a noted tiger reserve.
  • E. Jagdishpur
    Jagdishpur is a town in the Bhojpur district of Bihar, India, historically known as the ancestral estate of the 19th-century freedom fighter Kunwar Singh.
  • 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: Verbania
Triple: [Piedmont, containsCity, Verbania]
Generated description
Verbania is a lakeside city in northern Italy, situated on the shores of Lake Maggiore near the Swiss border.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Verbania
Target entity description: Verbania is a lakeside city in northern Italy, situated on the shores of Lake Maggiore near the Swiss border.
  • A. Khandala
    Khandala is a popular hill station in Maharashtra, India, known for its scenic valleys, waterfalls, and trekking spots in the Western Ghats.
  • B. Yavatmal
    Yavatmal is a city in the Indian state of Maharashtra, known as a regional center in the Vidarbha area with a predominantly agrarian economy.
  • C. Kadamtala
    Kadamtala is a small settlement located on Middle Andaman Island in the Andaman and Nicobar Islands of India.
  • D. Panna
    Panna is a town in central India renowned for its diamond mines and proximity to Panna National Park, a noted tiger reserve.
  • E. Jagdishpur
    Jagdishpur is a town in the Bhojpur district of Bihar, India, historically known as the ancestral estate of the 19th-century freedom fighter Kunwar Singh.
  • 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_69a498540a2481909e807a762280d3ba completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c19932888190a3d45871e84f112e completed March 1, 2026, 10:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad400aba788190840696eccfa258e1 completed March 8, 2026, 9:23 a.m.
NEDg Description generation batch_69ad40bec60c8190afea6d0de9178dab completed March 8, 2026, 9:26 a.m.
NED2 Entity disambiguation (via description) batch_69ad4118e7b88190b779c82321dfde8c completed March 8, 2026, 9:27 a.m.
Created at: March 1, 2026, 7:55 p.m.