Triple

T910967
Position Surface form Disambiguated ID Type / Status
Subject Lombardy E19656 entity
Predicate hasMajorCity P316 FINISHED
Object Brescia
Brescia is a historic industrial and cultural city in northern Italy, known for its Roman and medieval architecture and its role as an economic hub.
 E208736 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: Brescia | Statement: [Lombardy, hasMajorCity, Brescia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Brescia
Context triple: [Lombardy, hasMajorCity, Brescia]
  • A. Trento
    Trento is a historic city in northern Italy, known as the capital of Trentino and for its significant role in Catholic history and Alpine culture.
  • B. Lecco
    Lecco is an Italian town in the Lombardy region, known for its scenic location at the southeastern tip of Lake Como and its surrounding Alpine foothills.
  • C. Padua
    Padua is a historic city in northern Italy renowned as a major cultural and academic center, home to one of Europe’s oldest universities.
  • D. Pavia
    Pavia is a historic city in northern Italy, known for its ancient university, medieval architecture, and significant role in Lombardy’s cultural and academic life.
  • E. Verona
    Verona is a historic city in northern Italy renowned for its well-preserved Roman architecture and its association with Shakespeare’s "Romeo and Juliet."
  • 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: Brescia
Triple: [Lombardy, hasMajorCity, Brescia]
Generated description
Brescia is a historic industrial and cultural city in northern Italy, known for its Roman and medieval architecture and its role as an economic hub.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Brescia
Target entity description: Brescia is a historic industrial and cultural city in northern Italy, known for its Roman and medieval architecture and its role as an economic hub.
  • A. Trento
    Trento is a historic city in northern Italy, known as the capital of Trentino and for its significant role in Catholic history and Alpine culture.
  • B. Lecco
    Lecco is an Italian town in the Lombardy region, known for its scenic location at the southeastern tip of Lake Como and its surrounding Alpine foothills.
  • C. Padua
    Padua is a historic city in northern Italy renowned as a major cultural and academic center, home to one of Europe’s oldest universities.
  • D. Pavia
    Pavia is a historic city in northern Italy, known for its ancient university, medieval architecture, and significant role in Lombardy’s cultural and academic life.
  • E. Verona
    Verona is a historic city in northern Italy renowned for its well-preserved Roman architecture and its association with Shakespeare’s "Romeo and Juliet."
  • 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_69a4939f91a08190ba68c2c81eab90fe completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b2de5b008190851852331db41324 completed March 1, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69add19c8dac8190b99a00fc2131b0f4 completed March 8, 2026, 7:44 p.m.
NEDg Description generation batch_69add44709e48190bf5a4da37df17662 completed March 8, 2026, 7:55 p.m.
NED2 Entity disambiguation (via description) batch_69add4df93ec8190ada872535709f550 completed March 8, 2026, 7:58 p.m.
Created at: March 1, 2026, 7:39 p.m.