Triple

T899694
Position Surface form Disambiguated ID Type / Status
Subject Río Negro E19418 entity
Predicate flowsThrough P225 FINISHED
Object Choele Choel
Choele Choel is a town in the Río Negro Province of Argentina, known as an agricultural center in the fertile Valle Medio region.
 E125298 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: Choele Choel | Statement: [Río Negro, flowsThrough, Choele Choel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Choele Choel
Context triple: [Río Negro, flowsThrough, Choele Choel]
  • A. Quirihue
    Quirihue is a small city in central Chile that serves as the capital of the Itata Province in the Ñuble Region.
  • B. Curanilahue
    Curanilahue is a Chilean city and commune in the Biobío Region, known historically for its coal mining industry and location in the Arauco Province.
  • C. Calama
    Calama is a city in northern Chile known as a key mining center and gateway to the Atacama Desert.
  • D. Quillota
    Quillota is a Chilean city known for its agricultural production and historical significance within the Valparaíso Region.
  • E. Talcahuano
    Talcahuano is a major Chilean port city and naval base known for its shipyards and fishing industry.
  • 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: Choele Choel
Triple: [Río Negro, flowsThrough, Choele Choel]
Generated description
Choele Choel is a town in the Río Negro Province of Argentina, known as an agricultural center in the fertile Valle Medio region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Choele Choel
Target entity description: Choele Choel is a town in the Río Negro Province of Argentina, known as an agricultural center in the fertile Valle Medio region.
  • A. Quirihue
    Quirihue is a small city in central Chile that serves as the capital of the Itata Province in the Ñuble Region.
  • B. Curanilahue
    Curanilahue is a Chilean city and commune in the Biobío Region, known historically for its coal mining industry and location in the Arauco Province.
  • C. Calama
    Calama is a city in northern Chile known as a key mining center and gateway to the Atacama Desert.
  • D. Quillota
    Quillota is a Chilean city known for its agricultural production and historical significance within the Valparaíso Region.
  • E. Talcahuano
    Talcahuano is a major Chilean port city and naval base known for its shipyards and fishing industry.
  • 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_69a4939e889c8190ac148b3ac1a7f90b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ad4162848190aa2787b2fa3e6575 completed March 1, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac4bfe2ce081908c358689ec2c58e6 completed March 7, 2026, 4:02 p.m.
NEDg Description generation batch_69ac4c83e2688190ad53fcea9669f0ac completed March 7, 2026, 4:04 p.m.
NED2 Entity disambiguation (via description) batch_69ac4cdb02cc8190be89a99d4528168a completed March 7, 2026, 4:05 p.m.
Created at: March 1, 2026, 7:39 p.m.