Triple

T17134300
Position Surface form Disambiguated ID Type / Status
Subject Val Camonica E415796 entity
Predicate hasMajorTown P316 FINISHED
Object Breno
Breno is a historic town in northern Italy’s Lombardy region, situated in the Alpine Val Camonica and known for its medieval architecture and surrounding mountain scenery.
E1252398 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: Breno | Statement: [Val Camonica, hasMajorTown, Breno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Breno
Context triple: [Val Camonica, hasMajorTown, Breno]
  • A. Leandro
    Leandro is a fictional character portrayed by British actor Ariyon Bakare, known from his work in film and television.
  • B. Leandro
    Leandro is the given first name of Argentine jazz saxophonist and composer Gato Barbieri.
  • C. Gomes
    Gomes is a common Portuguese surname shared by many individuals, including the artist Fernanda Gomes.
  • D. Werdenberg
    Werdenberg is a region in the Swiss canton of St. Gallen, known for its historic town and castle near the Rhine Valley.
  • E. Cravalho
    Cravalho is the surname of Auliʻi Cravalho, the American actress and singer best known as the voice of Disney’s Moana.
  • 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: Breno
Triple: [Val Camonica, hasMajorTown, Breno]
Generated description
Breno is a historic town in northern Italy’s Lombardy region, situated in the Alpine Val Camonica and known for its medieval architecture and surrounding mountain scenery.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Breno
Target entity description: Breno is a historic town in northern Italy’s Lombardy region, situated in the Alpine Val Camonica and known for its medieval architecture and surrounding mountain scenery.
  • A. Leandro
    Leandro is a fictional character portrayed by British actor Ariyon Bakare, known from his work in film and television.
  • B. Leandro
    Leandro is the given first name of Argentine jazz saxophonist and composer Gato Barbieri.
  • C. Gomes
    Gomes is a common Portuguese surname shared by many individuals, including the artist Fernanda Gomes.
  • D. Werdenberg
    Werdenberg is a region in the Swiss canton of St. Gallen, known for its historic town and castle near the Rhine Valley.
  • E. Cravalho
    Cravalho is the surname of Auliʻi Cravalho, the American actress and singer best known as the voice of Disney’s Moana.
  • 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_69d886d15af4819092f92f8a129763e6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f02cbb7881908aa69c3443d149d5 completed April 18, 2026, 8:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a014150d63081908a5614f85694e57a completed May 11, 2026, 2:39 a.m.
NEDg Description generation batch_6a0141e96e4481908bfdf7a1eb4ac979 completed May 11, 2026, 2:41 a.m.
NED2 Entity disambiguation (via description) batch_6a01428ca86881909b18bcfc1c223f22 completed May 11, 2026, 2:44 a.m.
Created at: April 10, 2026, 5:36 a.m.