Triple

T894075
Position Surface form Disambiguated ID Type / Status
Subject Los Ríos Region E19303 entity
Predicate capital P234 FINISHED
Object Valdivia
Valdivia is a historic river port city in southern Chile known for its colonial heritage, waterways, and role as a regional cultural and economic center.
 E109267 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: Valdivia | Statement: [Los Ríos Region, capital, Valdivia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Valdivia
Context triple: [Los Ríos Region, capital, Valdivia]
  • A. Arauco
    Arauco is a coastal city and commune in Chile known for its forestry industry and location within the Biobío Region.
  • B. Andacollo
    Andacollo is a small mining town and municipality in Chile’s Coquimbo Region, known for its copper deposits and the religious shrine of the Virgin of Andacollo.
  • C. Quirihue
    Quirihue is a small city in central Chile that serves as the capital of the Itata Province in the Ñuble Region.
  • D. Quilpué
    Quilpué is a rapidly growing commuter city in central Chile known for its residential character and proximity to the port city of Valparaíso.
  • 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: Valdivia
Triple: [Los Ríos Region, capital, Valdivia]
Generated description
Valdivia is a historic river port city in southern Chile known for its colonial heritage, waterways, and role as a regional cultural and economic center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Valdivia
Target entity description: Valdivia is a historic river port city in southern Chile known for its colonial heritage, waterways, and role as a regional cultural and economic center.
  • A. Arauco
    Arauco is a coastal city and commune in Chile known for its forestry industry and location within the Biobío Region.
  • B. Andacollo
    Andacollo is a small mining town and municipality in Chile’s Coquimbo Region, known for its copper deposits and the religious shrine of the Virgin of Andacollo.
  • C. Quirihue
    Quirihue is a small city in central Chile that serves as the capital of the Itata Province in the Ñuble Region.
  • D. Quilpué
    Quilpué is a rapidly growing commuter city in central Chile known for its residential character and proximity to the port city of Valparaíso.
  • 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_69a4939d37188190848be3d426ebc9ae completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ad212cd8819091eb1b7d606f5afd completed March 1, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7ee02a21c819088e6a137ea306efd completed March 4, 2026, 8:32 a.m.
NEDg Description generation batch_69a7eebc724c8190a364782ec8e672e0 completed March 4, 2026, 8:35 a.m.
NED2 Entity disambiguation (via description) batch_69a7ef2ed2c881909dc1d2d6fb39805a completed March 4, 2026, 8:37 a.m.
Created at: March 1, 2026, 7:39 p.m.