Triple

T19239210
Position Surface form Disambiguated ID Type / Status
Subject Domuyo volcano E481084 entity
Predicate nearSettlement P3883 FINISHED
Object Varvarco
Varvarco is a small town in Argentina’s Neuquén Province, known as a gateway to the Domuyo volcanic region and its surrounding Andean landscapes.
 E1365903 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: Varvarco | Statement: [Domuyo volcano, nearSettlement, Varvarco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Varvarco
Context triple: [Domuyo volcano, nearSettlement, Varvarco]
  • A. Varvarin
    Varvarin is a small town in central Serbia situated on the banks of the Velika Morava River.
  • B. Vara
    Vara is a short form of the female given name Varvara, commonly used in Slavic languages.
  • C. Vara
    Vara is a small locality and municipality in western Sweden known for its agricultural landscape and rural character.
  • D. Vararuci
    Vararuci is an ancient Indian scholar and grammarian traditionally credited with important contributions to the study and codification of Prakrit languages.
  • E. Varpas
    Varpas was a Lithuanian national revival periodical that played a key role in promoting Lithuanian language, culture, and political awareness in the late 19th century.
  • 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: Varvarco
Triple: [Domuyo volcano, nearSettlement, Varvarco]
Generated description
Varvarco is a small town in Argentina’s Neuquén Province, known as a gateway to the Domuyo volcanic region and its surrounding Andean landscapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Varvarco
Target entity description: Varvarco is a small town in Argentina’s Neuquén Province, known as a gateway to the Domuyo volcanic region and its surrounding Andean landscapes.
  • A. Varvarin
    Varvarin is a small town in central Serbia situated on the banks of the Velika Morava River.
  • B. Vara
    Vara is a short form of the female given name Varvara, commonly used in Slavic languages.
  • C. Vara
    Vara is a small locality and municipality in western Sweden known for its agricultural landscape and rural character.
  • D. Vararuci
    Vararuci is an ancient Indian scholar and grammarian traditionally credited with important contributions to the study and codification of Prakrit languages.
  • E. Varpas
    Varpas was a Lithuanian national revival periodical that played a key role in promoting Lithuanian language, culture, and political awareness in the late 19th century.
  • 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_69d8e8ccb8f48190ad420098e74fb1db completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5faef827c81909157bbcd4060dfc9 completed April 20, 2026, 10:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0705da6b008190ac2c2b70d5caa054 completed May 15, 2026, 11:39 a.m.
NEDg Description generation batch_6a07069434cc8190a91be8afb5bd88c8 completed May 15, 2026, 11:42 a.m.
NED2 Entity disambiguation (via description) batch_6a07074bd4288190b2f51e0392efcdc3 completed May 15, 2026, 11:45 a.m.
Created at: April 10, 2026, 1:26 p.m.