Triple

T4958339
Position Surface form Disambiguated ID Type / Status
Subject Tanaro E111341 entity
Predicate mainRightTributary P415 FINISHED
Object Bormida
Bormida is a river in northwestern Italy that flows through the regions of Piedmont and Liguria before joining the Tanaro.
 E487483 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: Bormida | Statement: [Tanaro, mainRightTributary, Bormida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bormida
Context triple: [Tanaro, mainRightTributary, Bormida]
  • A. Ivrea
    Ivrea is a historic town in Italy’s Piedmont region, known for its medieval architecture, industrial heritage, and the famous Battle of the Oranges carnival.
  • B. Cuneo
    Cuneo is a city in the Piedmont region of northwestern Italy, known for its Alpine setting, agricultural traditions, and use of the Piedmontese language.
  • C. Collegno
    Collegno is a municipality in the Metropolitan City of Turin in northern Italy, known as a residential and industrial suburb of Turin.
  • D. Biella
    Biella is a city in the Piedmont region of northern Italy, known for its textile industry and Alpine foothill setting.
  • E. Vimercate
    Vimercate is a town in the Lombardy region of northern Italy, located near Milan and known for its historical center and role as a local economic hub.
  • 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: Bormida
Triple: [Tanaro, mainRightTributary, Bormida]
Generated description
Bormida is a river in northwestern Italy that flows through the regions of Piedmont and Liguria before joining the Tanaro.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bormida
Target entity description: Bormida is a river in northwestern Italy that flows through the regions of Piedmont and Liguria before joining the Tanaro.
  • A. Ivrea
    Ivrea is a historic town in Italy’s Piedmont region, known for its medieval architecture, industrial heritage, and the famous Battle of the Oranges carnival.
  • B. Cuneo
    Cuneo is a city in the Piedmont region of northwestern Italy, known for its Alpine setting, agricultural traditions, and use of the Piedmontese language.
  • C. Collegno
    Collegno is a municipality in the Metropolitan City of Turin in northern Italy, known as a residential and industrial suburb of Turin.
  • D. Biella
    Biella is a city in the Piedmont region of northern Italy, known for its textile industry and Alpine foothill setting.
  • E. Vimercate
    Vimercate is a town in the Lombardy region of northern Italy, located near Milan and known for its historical center and role as a local economic hub.
  • 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_69bd4418390c8190b7e9766a2512ce55 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd71d834c0819087f3faafdc9b4228 completed March 20, 2026, 4:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9244fb008190baee4ade5b00691f completed March 21, 2026, 12:42 p.m.
NEDg Description generation batch_69be963132c88190a5a9d179c9c4ef03 completed March 21, 2026, 12:59 p.m.
NED2 Entity disambiguation (via description) batch_69be969863348190b74aa7a14f1f6a4a completed March 21, 2026, 1:01 p.m.
Created at: March 20, 2026, 1:32 p.m.