Triple

T7551127
Position Surface form Disambiguated ID Type / Status
Subject Bacchiglione River E178535 entity
Predicate flowsThrough P225 FINISHED
Object Rubano
Rubano is a municipality in the Veneto region of northern Italy, located near the city of Padua.
 E671658 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: Rubano | Statement: [Bacchiglione River, flowsThrough, Rubano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rubano
Context triple: [Bacchiglione River, flowsThrough, Rubano]
  • A. Ganjachay
    Ganjachay is a river associated with the city of Ganja in Azerbaijan, forming part of the region’s local water system and landscape.
  • B. Bitritto
    Bitritto is a small town and comune in the Apulia region of southern Italy, situated near the city of Bari.
  • C. Lubero
    Lubero is a town and administrative center located in the mountainous region of North Kivu in the eastern Democratic Republic of the Congo.
  • D. Ladário
    Ladário is a small Brazilian municipality in the state of Mato Grosso do Sul, located in the Pantanal region and closely integrated economically and socially with the nearby city of Corumbá.
  • E. Laterza
    Laterza is a town and comune in the Apulia region of southern Italy, known for its historic center, traditional ceramics, and proximity to the Gravina di Laterza canyon.
  • 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: Rubano
Triple: [Bacchiglione River, flowsThrough, Rubano]
Generated description
Rubano is a municipality in the Veneto region of northern Italy, located near the city of Padua.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rubano
Target entity description: Rubano is a municipality in the Veneto region of northern Italy, located near the city of Padua.
  • A. Ganjachay
    Ganjachay is a river associated with the city of Ganja in Azerbaijan, forming part of the region’s local water system and landscape.
  • B. Bitritto
    Bitritto is a small town and comune in the Apulia region of southern Italy, situated near the city of Bari.
  • C. Lubero
    Lubero is a town and administrative center located in the mountainous region of North Kivu in the eastern Democratic Republic of the Congo.
  • D. Ladário
    Ladário is a small Brazilian municipality in the state of Mato Grosso do Sul, located in the Pantanal region and closely integrated economically and socially with the nearby city of Corumbá.
  • E. Laterza
    Laterza is a town and comune in the Apulia region of southern Italy, known for its historic center, traditional ceramics, and proximity to the Gravina di Laterza canyon.
  • 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_69c69f2cbe08819088f9eb0c03ef529b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8b50e5c8190817c1e968294d1ad completed March 27, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84f33c968819089fd0a2b07b076a3 completed March 28, 2026, 9:59 p.m.
NEDg Description generation batch_69c84fb8382881909f29472230550aff completed March 28, 2026, 10:01 p.m.
NED2 Entity disambiguation (via description) batch_69c850327c8c81908c3e1ccf58b5bd74 completed March 28, 2026, 10:03 p.m.
Created at: March 27, 2026, 3:49 p.m.