Triple

T2772895
Position Surface form Disambiguated ID Type / Status
Subject Córdoba Province E61498 entity
Predicate contains P35 FINISHED
Object Cosquín
Cosquín is a town in central Argentina best known for hosting one of the country’s most important annual folk music festivals.
 E298200 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: Cosquín | Statement: [Córdoba Province, contains, Cosquín]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cosquín
Context triple: [Córdoba Province, contains, Cosquín]
  • A. Serón
    Serón is a small rural settlement located in the Río Hurtado area of northern Chile, known for its Andean landscapes and agricultural surroundings.
  • B. Chañaral
    Chañaral is a coastal city in northern Chile known historically for its mining activity and its location along the Atacama Desert shoreline.
  • C. Chiguayante
    Chiguayante is a Chilean city located near Concepción, known as part of the Greater Concepción metropolitan area in the south-central part of the country.
  • D. Yapeyú
    Yapeyú is a small town in northeastern Argentina, historically notable as the birthplace of independence leader José de San Martín.
  • E. Pozo Almonte
    Pozo Almonte is a small town and commune in northern Chile known as an administrative and service center in the arid Tarapacá desert region.
  • 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: Cosquín
Triple: [Córdoba Province, contains, Cosquín]
Generated description
Cosquín is a town in central Argentina best known for hosting one of the country’s most important annual folk music festivals.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cosquín
Target entity description: Cosquín is a town in central Argentina best known for hosting one of the country’s most important annual folk music festivals.
  • A. Serón
    Serón is a small rural settlement located in the Río Hurtado area of northern Chile, known for its Andean landscapes and agricultural surroundings.
  • B. Chañaral
    Chañaral is a coastal city in northern Chile known historically for its mining activity and its location along the Atacama Desert shoreline.
  • C. Chiguayante
    Chiguayante is a Chilean city located near Concepción, known as part of the Greater Concepción metropolitan area in the south-central part of the country.
  • D. Yapeyú
    Yapeyú is a small town in northeastern Argentina, historically notable as the birthplace of independence leader José de San Martín.
  • E. Pozo Almonte
    Pozo Almonte is a small town and commune in northern Chile known as an administrative and service center in the arid Tarapacá desert region.
  • 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_69ab4b7cd13481909174bca9809ed259 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd6b9cc48190bd9f7d8d33fe1ec1 completed March 7, 2026, 8:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc0553588819098d478b4aaa18478 completed March 10, 2026, 6:55 a.m.
NEDg Description generation batch_69afc1c74ecc8190ba8b9926ff28f24e completed March 10, 2026, 7:01 a.m.
NED2 Entity disambiguation (via description) batch_69afc2d5aecc81909ce90a7e891568c9 completed March 10, 2026, 7:05 a.m.
Created at: March 6, 2026, 9:57 p.m.