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.