Triple

T12084484
Position Surface form Disambiguated ID Type / Status
Subject Vale do Rio dos Sinos E287770 entity
Predicate contains P35 FINISHED
Object Esteio
Esteio is a municipality in the state of Rio Grande do Sul in southern Brazil, known for its industrial activity and for hosting one of the country’s major agricultural fairs.
 E967460 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: Esteio | Statement: [Vale do Rio dos Sinos, contains, Esteio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Esteio
Context triple: [Vale do Rio dos Sinos, contains, Esteio]
  • A. Eidskog
    Eidskog is a rural municipality in Innlandet county, Norway, known for its forests, lakes, and location along the Swedish border.
  • B. Sandvika
    Sandvika is a town in southeastern Norway that serves as the administrative center of Bærum and a commercial hub in the Greater Oslo Region.
  • C. Gangstad
    Gangstad is a small settlement located within the municipality of Inderøy in Trøndelag county, Norway.
  • D. Suldal
    Suldal is a large rural municipality in southwestern Norway known for its fjords, mountains, and hydroelectric power production.
  • E. Aulestad
    Aulestad is the historic Norwegian country estate and museum best known as the longtime home of Nobel Prize–winning writer Bjørnstjerne Bjørnson.
  • 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: Esteio
Triple: [Vale do Rio dos Sinos, contains, Esteio]
Generated description
Esteio is a municipality in the state of Rio Grande do Sul in southern Brazil, known for its industrial activity and for hosting one of the country’s major agricultural fairs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Esteio
Target entity description: Esteio is a municipality in the state of Rio Grande do Sul in southern Brazil, known for its industrial activity and for hosting one of the country’s major agricultural fairs.
  • A. Eidskog
    Eidskog is a rural municipality in Innlandet county, Norway, known for its forests, lakes, and location along the Swedish border.
  • B. Sandvika
    Sandvika is a town in southeastern Norway that serves as the administrative center of Bærum and a commercial hub in the Greater Oslo Region.
  • C. Gangstad
    Gangstad is a small settlement located within the municipality of Inderøy in Trøndelag county, Norway.
  • D. Suldal
    Suldal is a large rural municipality in southwestern Norway known for its fjords, mountains, and hydroelectric power production.
  • E. Aulestad
    Aulestad is the historic Norwegian country estate and museum best known as the longtime home of Nobel Prize–winning writer Bjørnstjerne Bjørnson.
  • 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_69d6ab4964708190850585628b287b0c completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d91513bbb0819084a8bb877e03060c completed April 10, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f666bf1c819089de1235617e775b completed May 2, 2026, 1:04 p.m.
NEDg Description generation batch_69f60335285c819089f69472b2e48130 completed May 2, 2026, 1:59 p.m.
NED2 Entity disambiguation (via description) batch_69f60410ce0481908b2deb7522a3ec00 completed May 2, 2026, 2:02 p.m.
Created at: April 8, 2026, 9:48 p.m.