Triple

T4935770
Position Surface form Disambiguated ID Type / Status
Subject Neuquén Province E110806 entity
Predicate contains P35 FINISHED
Object Caviahue
Caviahue is a small Argentine town and ski resort in the Andes, known for its volcanic landscapes, thermal waters, and proximity to the Copahue volcano.
 E491901 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: Caviahue | Statement: [Neuquén Province, contains, Caviahue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Caviahue
Context triple: [Neuquén Province, contains, Caviahue]
  • A. Cutral Có
    Cutral Có is a city in western Argentina known as an important oil and gas center within Neuquén Province.
  • B. El Chañar
    El Chañar is a small rural settlement located in the Río Hurtado area of Chile’s Coquimbo Region.
  • C. La Falda
    La Falda is a small tourist city in the Sierras de Córdoba in central Argentina, known for its scenic mountain setting and historic hotels.
  • D. Guayaramerín
    Guayaramerín is a Bolivian town and river port in the Beni Department, located on the Mamoré River near the border with Brazil.
  • E. Chañaral
    Chañaral is a coastal city in northern Chile known historically for its mining activity and its location along the Atacama Desert shoreline.
  • 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: Caviahue
Triple: [Neuquén Province, contains, Caviahue]
Generated description
Caviahue is a small Argentine town and ski resort in the Andes, known for its volcanic landscapes, thermal waters, and proximity to the Copahue volcano.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Caviahue
Target entity description: Caviahue is a small Argentine town and ski resort in the Andes, known for its volcanic landscapes, thermal waters, and proximity to the Copahue volcano.
  • A. Cutral Có
    Cutral Có is a city in western Argentina known as an important oil and gas center within Neuquén Province.
  • B. El Chañar
    El Chañar is a small rural settlement located in the Río Hurtado area of Chile’s Coquimbo Region.
  • C. La Falda
    La Falda is a small tourist city in the Sierras de Córdoba in central Argentina, known for its scenic mountain setting and historic hotels.
  • D. Guayaramerín
    Guayaramerín is a Bolivian town and river port in the Beni Department, located on the Mamoré River near the border with Brazil.
  • E. Chañaral
    Chañaral is a coastal city in northern Chile known historically for its mining activity and its location along the Atacama Desert shoreline.
  • 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_69bd4415eee08190bdce70276e56a5b4 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd706825188190b854dca5ca2f9db6 completed March 20, 2026, 4:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb0daa53481908c705ca3698ab777 completed March 21, 2026, 2:53 p.m.
NEDg Description generation batch_69beb16170408190a04dded7fcc512d8 completed March 21, 2026, 2:55 p.m.
NED2 Entity disambiguation (via description) batch_69beb1c3bc5c8190b8a58baf2cd1ad44 completed March 21, 2026, 2:57 p.m.
Created at: March 20, 2026, 1:30 p.m.