Triple

T6555325
Position Surface form Disambiguated ID Type / Status
Subject Colbún Dam E152432 entity
Predicate operator P179 FINISHED
Object Colbún S.A.
Colbún S.A. is a Chilean electric power company that develops, owns, and operates a portfolio of hydroelectric and thermal power plants.
E604733 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: Colbún S.A. | Statement: [Colbún Dam, operator, Colbún S.A.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Colbún S.A.
Context triple: [Colbún Dam, operator, Colbún S.A.]
  • A. Lanco
    Lanco is a small Chilean city located in the Los Ríos Region, known primarily as an agricultural and service center for the surrounding rural area.
  • B. Habaguanex S.A.
    Habaguanex S.A. is a Cuban state-run tourism and hospitality company that operates hotels, restaurants, and shops, particularly in Old Havana.
  • C. Cruzcampo S.A.
    Cruzcampo S.A. is a historic Spanish beer brand and brewery, originally founded in Seville and now part of the Heineken group.
  • D. Gaviota S.A.
    Gaviota S.A. is a major Cuban tourism and hotel management company closely tied to the country’s military-controlled business conglomerate.
  • E. Tocumen S.A.
    Tocumen S.A. is the state-owned company responsible for managing and operating Panama’s main air hub, Tocumen International Airport.
  • 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: Colbún S.A.
Triple: [Colbún Dam, operator, Colbún S.A.]
Generated description
Colbún S.A. is a Chilean electric power company that develops, owns, and operates a portfolio of hydroelectric and thermal power plants.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Colbún S.A.
Target entity description: Colbún S.A. is a Chilean electric power company that develops, owns, and operates a portfolio of hydroelectric and thermal power plants.
  • A. Lanco
    Lanco is a small Chilean city located in the Los Ríos Region, known primarily as an agricultural and service center for the surrounding rural area.
  • B. Habaguanex S.A.
    Habaguanex S.A. is a Cuban state-run tourism and hospitality company that operates hotels, restaurants, and shops, particularly in Old Havana.
  • C. Cruzcampo S.A.
    Cruzcampo S.A. is a historic Spanish beer brand and brewery, originally founded in Seville and now part of the Heineken group.
  • D. Gaviota S.A.
    Gaviota S.A. is a major Cuban tourism and hotel management company closely tied to the country’s military-controlled business conglomerate.
  • E. Tocumen S.A.
    Tocumen S.A. is the state-owned company responsible for managing and operating Panama’s main air hub, Tocumen International Airport.
  • 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_69c688058d6881908c19b309cc55dbfa completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae1c07cc819089c297edad943a57 completed March 27, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d55707d081908104f08e1d59d603 completed March 27, 2026, 7:07 p.m.
NEDg Description generation batch_69c6d67574cc8190acf20c1a598c32ee completed March 27, 2026, 7:11 p.m.
NED2 Entity disambiguation (via description) batch_69c6d84076d48190ada0903af49613de completed March 27, 2026, 7:19 p.m.
Created at: March 27, 2026, 1:51 p.m.