Triple

T15543237
Position Surface form Disambiguated ID Type / Status
Subject Brescian E370534 entity
Predicate hasAlternativeName P39 FINISHED
Object Bresàan
Bresàan is the local Brescian dialect name for the city of Brescia in northern Italy.
 E1163358 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: Bresàan | Statement: [Brescian, hasAlternativeName, Bresàan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bresàan
Context triple: [Brescian, hasAlternativeName, Bresàan]
  • A. Bóand
    Bóand is a goddess in Irish mythology associated with the River Boyne, poetic inspiration, and sovereignty.
  • B. Breage
    Breage is a rural village and civil parish in west Cornwall, England, known for its historic church and traditional Cornish mining heritage.
  • C. Blera
    Blera is a small historic town in the Lazio region of central Italy, known for its ancient Etruscan origins and medieval heritage.
  • D. Borbera
    Borbera is a river in northwestern Italy that flows through the Piedmont region before joining the Tanaro.
  • E. Freirina
    Freirina is a small town and commune in northern Chile known for its agricultural activity and historic architecture within the Atacama Region.
  • 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: Bresàan
Triple: [Brescian, hasAlternativeName, Bresàan]
Generated description
Bresàan is the local Brescian dialect name for the city of Brescia in northern Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bresàan
Target entity description: Bresàan is the local Brescian dialect name for the city of Brescia in northern Italy.
  • A. Bóand
    Bóand is a goddess in Irish mythology associated with the River Boyne, poetic inspiration, and sovereignty.
  • B. Breage
    Breage is a rural village and civil parish in west Cornwall, England, known for its historic church and traditional Cornish mining heritage.
  • C. Blera
    Blera is a small historic town in the Lazio region of central Italy, known for its ancient Etruscan origins and medieval heritage.
  • D. Borbera
    Borbera is a river in northwestern Italy that flows through the Piedmont region before joining the Tanaro.
  • E. Freirina
    Freirina is a small town and commune in northern Chile known for its agricultural activity and historic architecture within the Atacama Region.
  • 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_69d85cc521a08190921fb50319dddc34 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04432c3808190bb5b653bf8de30c6 completed April 16, 2026, 2:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4558677881908704ac86c12e1fc4 completed May 9, 2026, 2:31 p.m.
NEDg Description generation batch_69ff468d1db88190ad71bc6780df5439 completed May 9, 2026, 2:37 p.m.
NED2 Entity disambiguation (via description) batch_69ff472fb24c8190912755bd95ef50c9 completed May 9, 2026, 2:39 p.m.
Created at: April 10, 2026, 4:07 a.m.