Triple

T4729107
Position Surface form Disambiguated ID Type / Status
Subject Quillota E104958 entity
Predicate hasSportsTeam P330 FINISHED
Object San Luis de Quillota
San Luis de Quillota is a Chilean professional football club based in the city of Quillota.
 E501808 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: San Luis de Quillota | Statement: [Quillota, hasSportsTeam, San Luis de Quillota]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: San Luis de Quillota
Context triple: [Quillota, hasSportsTeam, San Luis de Quillota]
  • A. Vallenar
    Vallenar is a city in northern Chile known as an agricultural and mining center in the Atacama Desert.
  • B. Rancagua
    Rancagua is a major Chilean city known for its mining industry and historical significance in the country’s independence, serving as an important commercial and administrative center south of Santiago.
  • C. La Serena
    La Serena is a coastal city in northern Chile known for its colonial architecture, beaches, and role as a gateway to major astronomical observatories in the region.
  • D. Coquimbo
    Coquimbo is a major Chilean port city known for its maritime commerce, fishing industry, and role as a gateway to the Elqui Valley in the Coquimbo 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: San Luis de Quillota
Triple: [Quillota, hasSportsTeam, San Luis de Quillota]
Generated description
San Luis de Quillota is a Chilean professional football club based in the city of Quillota.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: San Luis de Quillota
Target entity description: San Luis de Quillota is a Chilean professional football club based in the city of Quillota.
  • A. Vallenar
    Vallenar is a city in northern Chile known as an agricultural and mining center in the Atacama Desert.
  • B. Rancagua
    Rancagua is a major Chilean city known for its mining industry and historical significance in the country’s independence, serving as an important commercial and administrative center south of Santiago.
  • C. La Serena
    La Serena is a coastal city in northern Chile known for its colonial architecture, beaches, and role as a gateway to major astronomical observatories in the region.
  • D. Coquimbo
    Coquimbo is a major Chilean port city known for its maritime commerce, fishing industry, and role as a gateway to the Elqui Valley in the Coquimbo 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_69bd43ed84648190ae0b7ee8e8d00482 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd646135c881909030c21a163cc619 completed March 20, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69bee059e7088190a04124e5918a3c42 completed March 21, 2026, 6:15 p.m.
NEDg Description generation batch_69bee66191dc8190847fe13f2cda0000 completed March 21, 2026, 6:41 p.m.
NED2 Entity disambiguation (via description) batch_69bee6e8bbcc819094f5f04743eb4013 completed March 21, 2026, 6:43 p.m.
Created at: March 20, 2026, 1:19 p.m.