Triple

T3559542
Position Surface form Disambiguated ID Type / Status
Subject Lombard E75301 entity
Predicate hasDialect P4251 FINISHED
Object Brescian
Brescian is a variety of the Lombard language traditionally spoken in and around the city of Brescia in northern Italy.
E370534 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: Brescian | Statement: [Lombard, hasDialect, Brescian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brescian
Context triple: [Lombard, hasDialect, Brescian]
  • A. Emilian-Romagnol
    Emilian-Romagnol is a Romance language variety spoken primarily in Italy’s Emilia-Romagna region, known for its distinct phonology and vocabulary compared to standard Italian.
  • B. Gallarate
    Gallarate is a town in the Lombardy region of northern Italy, situated in the province of Varese and forming part of the greater Milan metropolitan area.
  • C. Selasca
    Selasca is a small locality in northern Italy notable as the place where the mathematician Bernhard Riemann died.
  • D. Caudini
    The Caudini were an ancient Italic people forming one of the principal tribes of the Samnite confederation in southern Italy.
  • E. Nursia
    Nursia is an ancient town in central Italy, historically significant as the birthplace of Saint Benedict and known today as Norcia.
  • 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: Brescian
Triple: [Lombard, hasDialect, Brescian]
Generated description
Brescian is a variety of the Lombard language traditionally spoken in and around the city of Brescia in northern Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Brescian
Target entity description: Brescian is a variety of the Lombard language traditionally spoken in and around the city of Brescia in northern Italy.
  • A. Emilian-Romagnol
    Emilian-Romagnol is a Romance language variety spoken primarily in Italy’s Emilia-Romagna region, known for its distinct phonology and vocabulary compared to standard Italian.
  • B. Gallarate
    Gallarate is a town in the Lombardy region of northern Italy, situated in the province of Varese and forming part of the greater Milan metropolitan area.
  • C. Selasca
    Selasca is a small locality in northern Italy notable as the place where the mathematician Bernhard Riemann died.
  • D. Caudini
    The Caudini were an ancient Italic people forming one of the principal tribes of the Samnite confederation in southern Italy.
  • E. Nursia
    Nursia is an ancient town in central Italy, historically significant as the birthplace of Saint Benedict and known today as Norcia.
  • 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_69ad85d45090819086f34fb85d850a1e completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc089270c81908bc200c84fe1592e completed March 8, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3bb9de4bc8190ba5d111465e66cf8 completed March 13, 2026, 7:24 a.m.
NEDg Description generation batch_69b3bf85f4f881908bfd2dcfaa3537af completed March 13, 2026, 7:40 a.m.
NED2 Entity disambiguation (via description) batch_69b3fb35c3a08190b50c87923037ee07 completed March 13, 2026, 11:55 a.m.
Created at: March 8, 2026, 3:20 p.m.