Triple

T19882070
Position Surface form Disambiguated ID Type / Status
Subject Pilcaniyeu E477798 entity
Predicate provinceCapital P16248 FINISHED
Object Viedma
Viedma is the capital city of Argentina’s Río Negro Province, located along the Negro River in northern Patagonia.
 E106861 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: Viedma | Statement: [Pilcaniyeu, provinceCapital, Viedma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Viedma
Context triple: [Pilcaniyeu, provinceCapital, Viedma]
  • A. Viedma
    Viedma is a city in northern Patagonia and one of the oldest settlements in Argentina, serving as the capital of Río Negro Province.
  • B. Võru
    Võru is a small town in southeastern Estonia known for its lakeside setting, traditional Võro culture, and role as a regional administrative and cultural center.
  • C. Pääsküla
    Pääsküla is a subdistrict of the Nõmme district in Tallinn, Estonia, known for its residential areas and nearby natural landscapes.
  • D. Jõhvi
    Jõhvi is a town in northeastern Estonia that serves as the administrative center of Ida-Viru County.
  • E. Kraainem
    Kraainem is a Dutch- and French-speaking suburban municipality on the eastern edge of Brussels in the Flemish Brabant province of Belgium.
  • 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: Viedma
Triple: [Pilcaniyeu, provinceCapital, Viedma]
Generated description
Viedma is the capital city of Argentina’s Río Negro Province, located along the Negro River in northern Patagonia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Viedma
Target entity description: Viedma is the capital city of Argentina’s Río Negro Province, located along the Negro River in northern Patagonia.
  • A. Viedma chosen
    Viedma is a city in northern Patagonia and one of the oldest settlements in Argentina, serving as the capital of Río Negro Province.
  • B. Võru
    Võru is a small town in southeastern Estonia known for its lakeside setting, traditional Võro culture, and role as a regional administrative and cultural center.
  • C. Pääsküla
    Pääsküla is a subdistrict of the Nõmme district in Tallinn, Estonia, known for its residential areas and nearby natural landscapes.
  • D. Jõhvi
    Jõhvi is a town in northeastern Estonia that serves as the administrative center of Ida-Viru County.
  • E. Kraainem
    Kraainem is a Dutch- and French-speaking suburban municipality on the eastern edge of Brussels in the Flemish Brabant province of Belgium.
  • F. None of above.

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_69d8e51f32b08190b3687f4f60353250 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e658df3f5c81909b5b290de91b8d50 completed April 20, 2026, 4:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07ea3c3688819097ec23445a32e875 completed May 16, 2026, 3:53 a.m.
NEDg Description generation batch_6a07f07d33bc8190b0de5dcce7f77e7d completed May 16, 2026, 4:20 a.m.
NED2 Entity disambiguation (via description) batch_6a07f0ec7d488190991914918a3940eb completed May 16, 2026, 4:22 a.m.
Created at: April 10, 2026, 1:52 p.m.