Triple

T7442293
Position Surface form Disambiguated ID Type / Status
Subject Lombard language E171783 entity
Predicate hasDialect P4251 FINISHED
Object Brianzoeu
Brianzoeu is a regional dialect of the Lombard language spoken in parts of northern Italy.
 E665466 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: Brianzoeu | Statement: [Lombard language, hasDialect, Brianzoeu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Brianzoeu
Context triple: [Lombard language, hasDialect, Brianzoeu]
  • A. Bruson
    Bruson is a quieter, traditional Swiss alpine village and ski area in the Valais region, known for its tree-lined slopes and access to the larger 4 Vallées domain.
  • B. Balzar
    Balzar is a town and agricultural center in coastal Ecuador, known for its rice and banana production within Guayas Province.
  • C. Borzna
    Borzna is a historic town in northern Ukraine, known as a former regional center within various administrative divisions over the centuries.
  • D. Bruschi
    Bruschi is the surname of Tedy Bruschi, a former NFL linebacker best known for his career with the New England Patriots.
  • E. Beloi
    Beloi is a coastal village on Atauro Island in East Timor, known for its beaches, coral reefs, and role as a gateway for tourism and local community life.
  • 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: Brianzoeu
Triple: [Lombard language, hasDialect, Brianzoeu]
Generated description
Brianzoeu is a regional dialect of the Lombard language spoken in parts of northern Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Brianzoeu
Target entity description: Brianzoeu is a regional dialect of the Lombard language spoken in parts of northern Italy.
  • A. Bruson
    Bruson is a quieter, traditional Swiss alpine village and ski area in the Valais region, known for its tree-lined slopes and access to the larger 4 Vallées domain.
  • B. Balzar
    Balzar is a town and agricultural center in coastal Ecuador, known for its rice and banana production within Guayas Province.
  • C. Borzna
    Borzna is a historic town in northern Ukraine, known as a former regional center within various administrative divisions over the centuries.
  • D. Bruschi
    Bruschi is the surname of Tedy Bruschi, a former NFL linebacker best known for his career with the New England Patriots.
  • E. Beloi
    Beloi is a coastal village on Atauro Island in East Timor, known for its beaches, coral reefs, and role as a gateway for tourism and local community life.
  • 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_69c68a65402881908f7869368eb746fb completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f36b9a3c81908abcc2a64d3e6061 completed March 27, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8279c9cec8190bde450f845f7d0ea completed March 28, 2026, 7:10 p.m.
NEDg Description generation batch_69c828c8b0588190a5a99380dc25d837 completed March 28, 2026, 7:15 p.m.
NED2 Entity disambiguation (via description) batch_69c8296962b48190b9f5cc4a66b93b91 completed March 28, 2026, 7:18 p.m.
Created at: March 27, 2026, 3:13 p.m.